SYNC_Patient_data
GARBA Moussa
2/4/2021
knit: (function(input_file, encoding) { out_dir <- ’’; rmarkdown::render(input_file, encoding=encoding,
output_file=file.path(dirname(input_file), out_dir, ‘index.pdf’))})
install.packages("corrr",repos = "http://cran.us.r-project.org")##
## The downloaded binary packages are in
## /var/folders/pz/q7l62sfd5938g690dfb584_80000gn/T//Rtmp1v2U1n/downloaded_packagesinstall.packages("SmartEDA",repos = "http://cran.us.r-project.org")##
## The downloaded binary packages are in
## /var/folders/pz/q7l62sfd5938g690dfb584_80000gn/T//Rtmp1v2U1n/downloaded_packageshealthcare data - Project
Problem: 1. Assuming we are given only these summary values, how do we reconstruct/trace back the data for each patient, on each one of the variables “trt” “age” “bmi” “gender” “response”, particularly if we are additionally informed that some patients have missing values in one or more of those variables?.
Problem 2. How do we measure the accuracy between the reconstructed data and the original data?. In this case, we have access to the original individual data, so if we have the methodology to measure the difference between the reconstructed and the original data, we can do so and then try it with other simulated data to see how robust our approach is.
Synthetic Data Generation via Gaussian Copula : SYNC
The central idea of SYNC is to fit Gaussian copula models to each of the low- resolution datasets in order to correctly capture dependencies and marginal distributions, and then sample from the fitted models to obtain the desired high-resolution subsets.
Synthetic data is a data object that is artificially created rather than collected from actual events. It is widely used in applications like harmonizing multiple data sources or augmenting existing data.
Downscaling : efficiently produce high quality data, generate high-resolution data (e.g., individual level records) from multiple low-resolution sources (e.g., averages of many individual records).
Practitioners often find individual level data far more appealing, as aggregated data lack information such as variances and distributions of variables.
Downscaled synthetic data to be useful : it needs to be fair and consistent.
Fair : simulated data should mimic realistic distributions and correlations of the true population as closely as possible.
Consistent : downscaled samples, the results need to be consistent with the original data.
SYNC (Synthetic Data Generation via Gaussian Copula) to simulate microdata by sampling features in batches. The concept is motivated by [Copula-based approach to synthetic population generation] and [Dependence- preserving approach to synthesizing household characteristics].
The rationale behind SYNC is that features can be segmented into dis- tinct batches based on their correlations, which reduces the high dimensional problem into several sub-problems in lower dimensions.
Feature dependency in high dimensions is hard to evaluate via common methods due to its complexity and computation requirements, and as such, Gaussian copula, a family of multivariate distributions that is capable of capturing dependencies among random variables, becomes an ideal candidate for the application.
Synthetic Reconstruction (SR)
Synthetic reconstruction (SR) is the most commonly used technique to generate synthetic data. This approach reconstructs the desired distribution from survey data while constrained by the marginal distributions.
Simulated individuals are sampled from a joint distribution which is estimated by an iterative process to form a synthetic population. Typical iterative procedures used to estimate the joint distribution are iterative proportional fitting (IPF) and matrix ranking.
The IPF algorithm fits a n-dimensional contingency table base on sampled data and fixed marginal distributions. The inner cells are then scaled to match the given marginal distribution. The process is repeated until the entries converge.
IPF has many advantages like maximizing entropy, minimiz- ing discrimination information and resulting in maximum likelihood estimator of the true contingency table. However, IPF is only applicable to categorical variables.
The SYNC framework incorporates predictive models to approximate each feature, which can be used to produce real-valued outputs as well and probability distribution that can be sampled from to produce discrete features.
novel combination framework which, to the best of our knowledge, is the first published effort to combine state-of-the-art machine learning and statistical instruments (e.g., outlier detection, Gaussian copula, and predictive models) to synthesize multi source data.
SYNC’s perfor- mance as a privacy-preserving algorithm and its ability to reproduce original datasets.
SYNC as a feature engineering tool, as well as an alternative to data collection in situations where gathering is difficult through a real-world datasets in the automotive the industry
The methodology is scalable at the production level and can easily incorporate new data sources without the need to retrain the entire model.
Import data
## Descriptions Value
## 1 Sample size (nrow) 1221
## 2 No. of variables (ncol) 7
## 3 No. of numeric/interger variables 4
## 4 No. of factor variables 0
## 5 No. of text variables 2
## 6 No. of logical variables 1
## 7 No. of identifier variables 1
## 8 No. of date variables 0
## 9 No. of zero variance variables (uniform) 1
## 10 %. of variables having complete cases 85.71% (6)
## 11 %. of variables having >0% and <50% missing cases 14.29% (1)
## 12 %. of variables having >=50% and <90% missing cases 0% (0)
## 13 %. of variables having >=90% missing cases 0% (0)## Index Variable_Name Variable_Type Per_of_Missing No_of_distinct_values
## 1 1 X integer 0.00000 1221
## 2 2 trial character 0.00000 1
## 3 3 trt character 0.00000 4
## 4 4 age integer 0.00000 64
## 5 5 bmi numeric 0.00328 248
## 6 6 male logical 0.00000 2
## 7 7 response integer 0.00000 2## Vname Group TN nNeg nZero nPos NegInf PosInf NA_Value Per_of_Missing
## 2 age All 1221 0 0 1221 0 0 0 0.00
## 3 bmi All 1221 0 0 1217 0 0 4 0.33
## 1 X All 1221 0 0 1221 0 0 0 0.00
## sum min max mean median SD CV IQR Skewness Kurtosis 0%
## 2 56278.0 18.0 84.0 46.09 47.0 12.83 0.28 19.0 0.05 -0.47 18.0
## 3 37444.2 18.3 60.6 30.77 29.7 6.87 0.22 8.4 1.07 1.61 18.3
## 1 746031.0 1.0 1221.0 611.00 611.0 352.62 0.58 610.0 0.00 -1.20 1.0
## 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% LB.25% UB.75%
## 2 29.00 35.0 39.0 43.0 47.0 49.0 53.0 57.0 63.0 84.0 8.5 84.5
## 3 23.16 25.2 26.6 27.9 29.7 31.4 33.1 35.6 39.9 60.6 13.3 46.9
## 1 123.00 245.0 367.0 489.0 611.0 733.0 855.0 977.0 1099.0 1221.0 -609.0 1831.0
## nOutliers
## 2 0
## 3 34
## 1 0
## Variable Valid Frequency Percent CumPercent
## 1 trt Etanercept 357 29.24 29.24
## 2 trt Ixekizumab Q2W 350 28.67 57.91
## 3 trt Ixekizumab Q4W 347 28.42 86.33
## 4 trt Placebo 167 13.68 100.01
## 5 trt TOTAL 1221 NA NA
## 6 response 0 487 39.89 39.89
## 7 response 1 734 60.11 100.00
## 8 response TOTAL 1221 NA NA
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 0.0000 0.0000 1.0000 0.6011 1.0000 1.0000## Vname Group TN nNeg nZero nPos NegInf PosInf NA_Value Per_of_Missing
## 2 age All 1221 0 0 1221 0 0 0 0.00
## 3 bmi All 1221 0 0 1217 0 0 4 0.33
## 1 X All 1221 0 0 1221 0 0 0 0.00
## sum min max mean median SD CV IQR 0% 10% 20% 30%
## 2 56278.0 18.0 84.0 46.09 47.0 12.83 0.28 19.0 18.0 29.00 35.0 39.0
## 3 37444.2 18.3 60.6 30.77 29.7 6.87 0.22 8.4 18.3 23.16 25.2 26.6
## 1 746031.0 1.0 1221.0 611.00 611.0 352.62 0.58 610.0 1.0 123.00 245.0 367.0
## 40% 50% 60% 70% 80% 90% 100% LB.25% UB.75% nOutliers
## 2 43.0 47.0 49.0 53.0 57.0 63.0 84.0 8.5 84.5 0
## 3 27.9 29.7 31.4 33.1 35.6 39.9 60.6 13.3 46.9 34
## 1 489.0 611.0 733.0 855.0 977.0 1099.0 1221.0 -609.0 1831.0 0
# Variable analysis
## VARIABLE CATEGORY response:0 response:1 TOTAL
## 1 trt Etanercept 216 141 357
## 2 trt Ixekizumab Q2W 30 320 350
## 3 trt Ixekizumab Q4W 78 269 347
## 4 trt Placebo 163 4 167
## 5 trt TOTAL 487 734 1221
## 6 response 0 487 0 487
## 7 response 1 0 734 734
## 8 response TOTAL 487 734 1221## Vname Group TN nNeg nZero nPos NegInf PosInf NA_Value Per_of_Missing
## 2 age response:All 1221 0 0 1221 0 0 0 0.00
## 5 age response:0 487 0 0 487 0 0 0 0.00
## 8 age response:1 734 0 0 734 0 0 0 0.00
## 3 bmi response:All 1221 0 0 1217 0 0 4 0.33
## 6 bmi response:0 487 0 0 485 0 0 2 0.41
## 9 bmi response:1 734 0 0 732 0 0 2 0.27
## 1 X response:All 1221 0 0 1221 0 0 0 0.00
## 4 X response:0 487 0 0 487 0 0 0 0.00
## 7 X response:1 734 0 0 734 0 0 0 0.00
## sum min max mean median SD CV IQR Skewness Kurtosis 0%
## 2 56278.0 18.0 84.0 46.09 47.0 12.83 0.28 19.00 0.05 -0.47 18.0
## 5 23328.0 18.0 79.0 47.90 49.0 12.68 0.26 18.00 -0.11 -0.44 18.0
## 8 32950.0 18.0 84.0 44.89 45.0 12.80 0.29 18.00 0.16 -0.41 18.0
## 3 37444.2 18.3 60.6 30.77 29.7 6.87 0.22 8.40 1.07 1.61 18.3
## 6 15410.1 18.3 60.6 31.77 30.6 7.57 0.24 9.80 1.00 1.33 18.3
## 9 22034.1 18.3 60.6 30.10 29.3 6.29 0.21 7.32 1.02 1.42 18.3
## 1 746031.0 1.0 1221.0 611.00 611.0 352.62 0.58 610.00 0.00 -1.20 1.0
## 4 309439.0 1.0 1221.0 635.40 647.0 442.15 0.70 891.00 -0.01 -1.72 1.0
## 7 436592.0 2.0 1195.0 594.81 606.5 276.89 0.47 413.50 -0.25 -0.78 2.0
## 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% LB.25%
## 2 29.00 35.00 39.0 43.0 47.0 49.00 53.0 57.00 63.00 84.0 8.50
## 5 30.00 36.20 41.0 46.0 49.0 52.00 55.0 58.00 63.40 79.0 12.00
## 8 28.00 33.00 38.0 41.0 45.0 48.00 51.0 56.00 63.00 84.0 9.00
## 3 23.16 25.20 26.6 27.9 29.7 31.40 33.1 35.60 39.90 60.6 13.30
## 6 23.24 25.48 26.8 28.7 30.6 32.70 34.6 37.36 41.08 60.6 11.30
## 9 23.10 25.00 26.4 27.7 29.3 30.56 32.3 34.56 38.49 60.6 14.79
## 1 123.00 245.00 367.0 489.0 611.0 733.00 855.0 977.00 1099.00 1221.0 -609.00
## 4 86.20 159.60 241.8 327.8 647.0 928.60 1071.2 1122.80 1171.40 1221.0 -1131.00
## 7 185.30 364.60 445.8 526.2 606.5 684.80 774.1 864.80 962.40 1195.0 -215.00
## UB.75% nOutliers
## 2 84.50 0
## 5 84.00 0
## 8 81.00 2
## 3 46.90 34
## 6 50.50 16
## 9 44.09 25
## 1 1831.00 0
## 4 2433.00 0
## 7 1439.00 0
## VARIABLE CATEGORY trt:Etanercept trt:Ixekizumab Q2W trt:Ixekizumab Q4W
## 1 response 0 216 30 78
## 2 response 1 141 320 269
## 3 response TOTAL 357 350 347
## trt:Placebo TOTAL
## 1 163 487
## 2 4 734
## 3 167 1221## Variable Class Out_1 Out_0 TOTAL Per_1 Per_0 Odds WOE IV Ref_1
## 1 trt.1 Etanercept 357 357 714 0.29 0.29 1 0 0 Yes
## 2 trt.2 Ixekizumab Q2W 350 350 700 0.29 0.29 1 0 0 Yes
## 3 trt.3 Ixekizumab Q4W 347 347 694 0.28 0.28 1 0 0 Yes
## 4 trt.4 Placebo 167 167 334 0.14 0.14 1 0 0 Yes
## 5 X.1 [1,122] 122 122 244 0.10 0.10 1 0 0 Yes
## 6 X.2 (122,244] 122 122 244 0.10 0.10 1 0 0 Yes
## 7 X.3 (244,366] 122 122 244 0.10 0.10 1 0 0 Yes
## 8 X.4 (366,488] 122 122 244 0.10 0.10 1 0 0 Yes
## 9 X.5 (488,610] 122 122 244 0.10 0.10 1 0 0 Yes
## 10 X.6 (610,733] 123 123 246 0.10 0.10 1 0 0 Yes
## 11 X.7 (733,855] 122 122 244 0.10 0.10 1 0 0 Yes
## 12 X.8 (855,977] 122 122 244 0.10 0.10 1 0 0 Yes
## 13 X.9 (977,1.1e+03] 122 122 244 0.10 0.10 1 0 0 Yes
## 14 X.10 (1.1e+03,1.22e+03] 122 122 244 0.10 0.10 1 0 0 Yes
## 15 age.1 [18,29] 143 143 286 0.12 0.12 1 0 0 Yes
## 16 age.2 (29,35] 125 125 250 0.10 0.10 1 0 0 Yes
## 17 age.3 (35,39] 110 110 220 0.09 0.09 1 0 0 Yes
## 18 age.4 (39,43] 138 138 276 0.11 0.11 1 0 0 Yes
## 19 age.5 (43,47] 140 140 280 0.11 0.11 1 0 0 Yes
## 20 age.6 (47,49] 80 80 160 0.07 0.07 1 0 0 Yes
## 21 age.7 (49,53] 128 128 256 0.10 0.10 1 0 0 Yes
## 22 age.8 (53,57] 123 123 246 0.10 0.10 1 0 0 Yes
## 23 age.9 (57,63] 125 125 250 0.10 0.10 1 0 0 Yes
## 24 age.10 (63,84] 109 109 218 0.09 0.09 1 0 0 Yes
## 25 bmi.1 [23.1,25.2] 130 130 260 0.11 0.11 1 0 0 Yes
## 26 bmi.2 (25.2,26.6] 129 129 258 0.11 0.11 1 0 0 Yes
## 27 bmi.3 (26.6,27.9] 112 112 224 0.09 0.09 1 0 0 Yes
## 28 bmi.4 (27.9,29.7] 125 125 250 0.10 0.10 1 0 0 Yes
## 29 bmi.5 (29.7,31.4] 123 123 246 0.10 0.10 1 0 0 Yes
## 30 bmi.6 (31.4,33.1] 118 118 236 0.10 0.10 1 0 0 Yes
## 31 bmi.7 (33.1,35.6] 120 120 240 0.10 0.10 1 0 0 Yes
## 32 bmi.8 (35.6,39.9] 120 120 240 0.10 0.10 1 0 0 Yes
## 33 bmi.9 <NA> 244 244 488 0.20 0.20 1 0 0 Yes
## Ref_0 Target
## 1 0, 1 response
## 2 0, 1 response
## 3 0, 1 response
## 4 0, 1 response
## 5 0, 1 response
## 6 0, 1 response
## 7 0, 1 response
## 8 0, 1 response
## 9 0, 1 response
## 10 0, 1 response
## 11 0, 1 response
## 12 0, 1 response
## 13 0, 1 response
## 14 0, 1 response
## 15 0, 1 response
## 16 0, 1 response
## 17 0, 1 response
## 18 0, 1 response
## 19 0, 1 response
## 20 0, 1 response
## 21 0, 1 response
## 22 0, 1 response
## 23 0, 1 response
## 24 0, 1 response
## 25 0, 1 response
## 26 0, 1 response
## 27 0, 1 response
## 28 0, 1 response
## 29 0, 1 response
## 30 0, 1 response
## 31 0, 1 response
## 32 0, 1 response
## 33 0, 1 response## Variable Class Out_1 Out_0 TOTAL Per_1 Per_0 Odds WOE IV Ref_1
## 1 trt.1 Etanercept 357 357 714 0.29 0.29 1 0 0 Yes
## 2 trt.2 Ixekizumab Q2W 350 350 700 0.29 0.29 1 0 0 Yes
## 3 trt.3 Ixekizumab Q4W 347 347 694 0.28 0.28 1 0 0 Yes
## 4 trt.4 Placebo 167 167 334 0.14 0.14 1 0 0 Yes
## 5 X.1 [1,122] 122 122 244 0.10 0.10 1 0 0 Yes
## 6 X.2 (122,244] 122 122 244 0.10 0.10 1 0 0 Yes
## 7 X.3 (244,366] 122 122 244 0.10 0.10 1 0 0 Yes
## 8 X.4 (366,488] 122 122 244 0.10 0.10 1 0 0 Yes
## 9 X.5 (488,610] 122 122 244 0.10 0.10 1 0 0 Yes
## 10 X.6 (610,733] 123 123 246 0.10 0.10 1 0 0 Yes
## 11 X.7 (733,855] 122 122 244 0.10 0.10 1 0 0 Yes
## 12 X.8 (855,977] 122 122 244 0.10 0.10 1 0 0 Yes
## 13 X.9 (977,1.1e+03] 122 122 244 0.10 0.10 1 0 0 Yes
## 14 X.10 (1.1e+03,1.22e+03] 122 122 244 0.10 0.10 1 0 0 Yes
## 15 age.1 [18,29] 143 143 286 0.12 0.12 1 0 0 Yes
## 16 age.2 (29,35] 125 125 250 0.10 0.10 1 0 0 Yes
## 17 age.3 (35,39] 110 110 220 0.09 0.09 1 0 0 Yes
## 18 age.4 (39,43] 138 138 276 0.11 0.11 1 0 0 Yes
## 19 age.5 (43,47] 140 140 280 0.11 0.11 1 0 0 Yes
## 20 age.6 (47,49] 80 80 160 0.07 0.07 1 0 0 Yes
## 21 age.7 (49,53] 128 128 256 0.10 0.10 1 0 0 Yes
## 22 age.8 (53,57] 123 123 246 0.10 0.10 1 0 0 Yes
## 23 age.9 (57,63] 125 125 250 0.10 0.10 1 0 0 Yes
## 24 age.10 (63,84] 109 109 218 0.09 0.09 1 0 0 Yes
## 25 bmi.1 [23.1,25.2] 130 130 260 0.11 0.11 1 0 0 Yes
## 26 bmi.2 (25.2,26.6] 129 129 258 0.11 0.11 1 0 0 Yes
## 27 bmi.3 (26.6,27.9] 112 112 224 0.09 0.09 1 0 0 Yes
## 28 bmi.4 (27.9,29.7] 125 125 250 0.10 0.10 1 0 0 Yes
## 29 bmi.5 (29.7,31.4] 123 123 246 0.10 0.10 1 0 0 Yes
## 30 bmi.6 (31.4,33.1] 118 118 236 0.10 0.10 1 0 0 Yes
## 31 bmi.7 (33.1,35.6] 120 120 240 0.10 0.10 1 0 0 Yes
## 32 bmi.8 (35.6,39.9] 120 120 240 0.10 0.10 1 0 0 Yes
## 33 bmi.9 <NA> 244 244 488 0.20 0.20 1 0 0 Yes
## Ref_0 Target
## 1 0, 1 response
## 2 0, 1 response
## 3 0, 1 response
## 4 0, 1 response
## 5 0, 1 response
## 6 0, 1 response
## 7 0, 1 response
## 8 0, 1 response
## 9 0, 1 response
## 10 0, 1 response
## 11 0, 1 response
## 12 0, 1 response
## 13 0, 1 response
## 14 0, 1 response
## 15 0, 1 response
## 16 0, 1 response
## 17 0, 1 response
## 18 0, 1 response
## 19 0, 1 response
## 20 0, 1 response
## 21 0, 1 response
## 22 0, 1 response
## 23 0, 1 response
## 24 0, 1 response
## 25 0, 1 response
## 26 0, 1 response
## 27 0, 1 response
## 28 0, 1 response
## 29 0, 1 response
## 30 0, 1 response
## 31 0, 1 response
## 32 0, 1 response
## 33 0, 1 response## Variable Class Out_1 Out_0 TOTAL Per_1 Per_0 Odds WOE IV Ref_1
## 1 trt.1 Etanercept 357 357 714 0.29 0.29 1 0 0 Yes
## 2 trt.2 Ixekizumab Q2W 350 350 700 0.29 0.29 1 0 0 Yes
## 3 trt.3 Ixekizumab Q4W 347 347 694 0.28 0.28 1 0 0 Yes
## 4 trt.4 Placebo 167 167 334 0.14 0.14 1 0 0 Yes
## 5 X.1 [1,122] 122 122 244 0.10 0.10 1 0 0 Yes
## 6 X.2 (122,244] 122 122 244 0.10 0.10 1 0 0 Yes
## 7 X.3 (244,366] 122 122 244 0.10 0.10 1 0 0 Yes
## 8 X.4 (366,488] 122 122 244 0.10 0.10 1 0 0 Yes
## 9 X.5 (488,610] 122 122 244 0.10 0.10 1 0 0 Yes
## 10 X.6 (610,733] 123 123 246 0.10 0.10 1 0 0 Yes
## 11 X.7 (733,855] 122 122 244 0.10 0.10 1 0 0 Yes
## 12 X.8 (855,977] 122 122 244 0.10 0.10 1 0 0 Yes
## 13 X.9 (977,1.1e+03] 122 122 244 0.10 0.10 1 0 0 Yes
## 14 X.10 (1.1e+03,1.22e+03] 122 122 244 0.10 0.10 1 0 0 Yes
## 15 age.1 [18,29] 143 143 286 0.12 0.12 1 0 0 Yes
## 16 age.2 (29,35] 125 125 250 0.10 0.10 1 0 0 Yes
## 17 age.3 (35,39] 110 110 220 0.09 0.09 1 0 0 Yes
## 18 age.4 (39,43] 138 138 276 0.11 0.11 1 0 0 Yes
## 19 age.5 (43,47] 140 140 280 0.11 0.11 1 0 0 Yes
## 20 age.6 (47,49] 80 80 160 0.07 0.07 1 0 0 Yes
## 21 age.7 (49,53] 128 128 256 0.10 0.10 1 0 0 Yes
## 22 age.8 (53,57] 123 123 246 0.10 0.10 1 0 0 Yes
## 23 age.9 (57,63] 125 125 250 0.10 0.10 1 0 0 Yes
## 24 age.10 (63,84] 109 109 218 0.09 0.09 1 0 0 Yes
## 25 bmi.1 [23.1,25.2] 130 130 260 0.11 0.11 1 0 0 Yes
## 26 bmi.2 (25.2,26.6] 129 129 258 0.11 0.11 1 0 0 Yes
## 27 bmi.3 (26.6,27.9] 112 112 224 0.09 0.09 1 0 0 Yes
## 28 bmi.4 (27.9,29.7] 125 125 250 0.10 0.10 1 0 0 Yes
## 29 bmi.5 (29.7,31.4] 123 123 246 0.10 0.10 1 0 0 Yes
## 30 bmi.6 (31.4,33.1] 118 118 236 0.10 0.10 1 0 0 Yes
## 31 bmi.7 (33.1,35.6] 120 120 240 0.10 0.10 1 0 0 Yes
## 32 bmi.8 (35.6,39.9] 120 120 240 0.10 0.10 1 0 0 Yes
## 33 bmi.9 <NA> 244 244 488 0.20 0.20 1 0 0 Yes
## Ref_0 Target
## 1 0, 1 response
## 2 0, 1 response
## 3 0, 1 response
## 4 0, 1 response
## 5 0, 1 response
## 6 0, 1 response
## 7 0, 1 response
## 8 0, 1 response
## 9 0, 1 response
## 10 0, 1 response
## 11 0, 1 response
## 12 0, 1 response
## 13 0, 1 response
## 14 0, 1 response
## 15 0, 1 response
## 16 0, 1 response
## 17 0, 1 response
## 18 0, 1 response
## 19 0, 1 response
## 20 0, 1 response
## 21 0, 1 response
## 22 0, 1 response
## 23 0, 1 response
## 24 0, 1 response
## 25 0, 1 response
## 26 0, 1 response
## 27 0, 1 response
## 28 0, 1 response
## 29 0, 1 response
## 30 0, 1 response
## 31 0, 1 response
## 32 0, 1 response
## 33 0, 1 response
## $outlier_summary
## Category age
## 1 Lower cap : 0.1 29
## 2 Upper cap : 0.9 63
## 3 Lower bound 8.5
## 4 Upper bound 84.5
## 5 Num of outliers 0
## 6 Lower outlier case
## 7 Upper outlier case
## 8 Mean before 46.09
## 9 Mean after 46.09
## 10 Median before 47
## 11 Median after 47
## bmi
## 1 23.16
## 2 39.9
## 3 13.3
## 4 46.9
## 5 38
## 6
## 7 34,57,139,154,158,200,215,258,302,316,330,347,353,422,442,445,447,501,545,605,617,654,671,677,694,711,746,798,804,1004,1091,1183,1209,1218
## 8 30.77
## 9 30.16
## 10 29.7
## 11 29.5
##
## $outlier_data
## X trial trt age bmi male response out_cap_bmi out_imp_bmi
## 1: 1 UNCOVER-2 Etanercept 51 34.5 TRUE 0 34.5 34.50
## 2: 2 UNCOVER-2 Etanercept 64 24.2 TRUE 1 24.2 24.20
## 3: 3 UNCOVER-2 Etanercept 59 26.1 TRUE 1 26.1 26.10
## 4: 4 UNCOVER-2 Etanercept 54 19.7 TRUE 0 19.7 19.70
## 5: 5 UNCOVER-2 Etanercept 50 30.3 TRUE 0 30.3 30.30
## ---
## 1217: 1217 UNCOVER-2 Placebo 49 40.7 FALSE 0 40.7 40.70
## 1218: 1218 UNCOVER-2 Placebo 46 60.6 FALSE 0 39.9 30.16
## 1219: 1219 UNCOVER-2 Placebo 57 32.3 TRUE 0 32.3 32.30
## 1220: 1220 UNCOVER-2 Placebo 31 21.3 TRUE 0 21.3 21.30
## 1221: 1221 UNCOVER-2 Placebo 65 27.8 FALSE 0 27.8 27.80
##
## $outlier_index
## $outlier_index$upper_out_index
## $outlier_index$upper_out_index$age
## numeric(0)
##
## $outlier_index$upper_out_index$bmi
## [1] 34 57 139 154 158 200 215 258 302 316 330 347 353 422 442 445 447 501 545 605 617 654 671 677 694 711 746 798 804
## [30] 1004 1091 1183 1209 1218
##
##
## $outlier_index$lower_out_index
## $outlier_index$lower_out_index$age
## numeric(0)
##
## $outlier_index$lower_out_index$bmi
## numeric(0)## $outlier_summary
## Category age bmi
## 1 Lower cap : 0.1 29 23.16
## 2 Upper cap : 0.9 63 39.9
## 3 Lower bound 7.6 10.14
## 4 Upper bound 84.59 51.39
## 5 Num of outliers 0 18
## 6 Lower outlier case
## 7 Upper outlier case 34,158,200,258,422,445,501,617,677,694,746,1091,1183,1218
## 8 Mean before 46.09 30.77
## 9 Mean after 46.09 30.47
## 10 Median before 47 29.7
## 11 Median after 47 29.6
##
## $outlier_data
## X trial trt age bmi male response out_cap_bmi out_imp_bmi
## 1: 1 UNCOVER-2 Etanercept 51 34.5 TRUE 0 34.5 34.5
## 2: 2 UNCOVER-2 Etanercept 64 24.2 TRUE 1 24.2 24.2
## 3: 3 UNCOVER-2 Etanercept 59 26.1 TRUE 1 26.1 26.1
## 4: 4 UNCOVER-2 Etanercept 54 19.7 TRUE 0 19.7 19.7
## 5: 5 UNCOVER-2 Etanercept 50 30.3 TRUE 0 30.3 30.3
## ---
## 1217: 1217 UNCOVER-2 Placebo 49 40.7 FALSE 0 40.7 40.7
## 1218: 1218 UNCOVER-2 Placebo 46 60.6 FALSE 0 39.9 29.6
## 1219: 1219 UNCOVER-2 Placebo 57 32.3 TRUE 0 32.3 32.3
## 1220: 1220 UNCOVER-2 Placebo 31 21.3 TRUE 0 21.3 21.3
## 1221: 1221 UNCOVER-2 Placebo 65 27.8 FALSE 0 27.8 27.8
##
## $outlier_index
## $outlier_index$upper_out_index
## $outlier_index$upper_out_index$age
## numeric(0)
##
## $outlier_index$upper_out_index$bmi
## [1] 34 158 200 258 422 445 501 617 677 694 746 1091 1183 1218
##
##
## $outlier_index$lower_out_index
## $outlier_index$lower_out_index$age
## numeric(0)
##
## $outlier_index$lower_out_index$bmi
## numeric(0)## X trial trt age bmi male response
## 1: 1 UNCOVER-2 Etanercept 51 34.5 TRUE 0
## 2: 2 UNCOVER-2 Etanercept 64 24.2 TRUE 1
## 3: 3 UNCOVER-2 Etanercept 59 26.1 TRUE 1
## 4: 4 UNCOVER-2 Etanercept 54 19.7 TRUE 0
## 5: 5 UNCOVER-2 Etanercept 50 30.3 TRUE 0
## ---
## 1217: 1217 UNCOVER-2 Placebo 49 40.7 FALSE 0
## 1218: 1218 UNCOVER-2 Placebo 46 60.6 FALSE 0
## 1219: 1219 UNCOVER-2 Placebo 57 32.3 TRUE 0
## 1220: 1220 UNCOVER-2 Placebo 31 21.3 TRUE 0
## 1221: 1221 UNCOVER-2 Placebo 65 27.8 FALSE 0## Classes 'data.table' and 'data.frame': 1221 obs. of 7 variables:
## $ X : int 1 2 3 4 5 6 7 8 9 10 ...
## $ trial : chr "UNCOVER-2" "UNCOVER-2" "UNCOVER-2" "UNCOVER-2" ...
## $ trt : chr "Etanercept" "Etanercept" "Etanercept" "Etanercept" ...
## $ age : int 51 64 59 54 50 57 36 54 50 26 ...
## $ bmi : num 34.5 24.2 26.1 19.7 30.3 25.8 30.3 38.1 30.3 27.2 ...
## $ male : logi TRUE TRUE TRUE TRUE TRUE TRUE ...
## $ response: int 0 1 1 0 0 1 0 1 0 1 ...trial, trt are characters age: int bmi : numeric male: logical
response : int
## X trial trt age bmi male response
## 1221 1 4 64 248 2 2## n_distinct class
## 1 1221 integer
## 2 1 character
## 3 4 character
## 4 64 integer
## 5 248 numeric
## 6 2 logical
## 7 2 integer## X trial trt age bmi male response
## 1: 10 UNCOVER-2 Etanercept 26 27.2 TRUE 1
## 2: 11 UNCOVER-2 Etanercept 61 31.5 TRUE 0
## 3: 12 UNCOVER-2 Etanercept 29 23.4 FALSE 0
## 4: 13 UNCOVER-2 Etanercept 52 27.5 FALSE 1
## 5: 14 UNCOVER-2 Etanercept 42 22.7 FALSE 1
## 6: 15 UNCOVER-2 Etanercept 58 34.6 TRUE 0## X trial trt age bmi male response
## 1: 1091 UNCOVER-2 Placebo 46 60.6 TRUE 1
## 2: 1183 UNCOVER-2 Placebo 46 60.6 TRUE 0
## 3: 1218 UNCOVER-2 Placebo 46 60.6 FALSE 0## X trial trt age bmi male response
## 1 0 0 0 0 4 0 0## [1] 4Categorical variable
Numeric variable
Logical variable
## vars n mean sd median trimmed mad min max range skew kurtosis se
## X 1 1221 611.00 352.62 611.0 611.00 452.19 1.0 1221.0 1220.0 0.00 -1.20 10.09
## bmi 2 1217 30.77 6.87 29.7 30.10 6.08 18.3 60.6 42.3 1.06 1.60 0.20
## age 3 1221 46.09 12.83 47.0 46.06 13.34 18.0 84.0 66.0 0.05 -0.47 0.37## vars trimmed mean skew sd range
## X 1 611.00 611.00 0.00 352.62 1220.0
## age 3 46.06 46.09 0.05 12.83 66.0
## bmi 2 30.10 30.77 1.06 6.87 42.3## # A tibble: 1,221 x 3
## X bmi age
## <int> <dbl> <int>
## 1 1 34.5 51
## 2 2 24.2 64
## 3 3 26.1 59
## 4 4 19.7 54
## 5 5 30.3 50
## 6 6 25.8 57
## 7 7 30.3 36
## 8 8 38.1 54
## 9 9 30.3 50
## 10 10 27.2 26
## # … with 1,211 more rows##
## Anderson-Darling normality test
##
## data: num_var$bmi
## A = 15.796, p-value < 2.2e-16##
## Anderson-Darling normality test
##
## data: num_var$age
## A = 1.6496, p-value = 0.00031##
## Shapiro-Wilk normality test
##
## data: num_var$bmi
## W = 0.93986, p-value < 2.2e-16##
## Shapiro-Wilk normality test
##
## data: num_var$age
## W = 0.99285, p-value = 1.244e-05
## # A tibble: 3 x 4
## term X bmi age
## <chr> <dbl> <dbl> <dbl>
## 1 X NA -0.0243 -0.0609
## 2 bmi -0.0243 NA 0.139
## 3 age -0.0609 0.139 NA
## # A tibble: 1,221 x 4
## # Groups: X, bmi [1,221]
## X bmi trt n
## <int> <dbl> <fct> <int>
## 1 1 34.5 Etanercept 1
## 2 2 24.2 Etanercept 1
## 3 3 26.1 Etanercept 1
## 4 4 19.7 Etanercept 1
## 5 5 30.3 Etanercept 1
## 6 6 25.8 Etanercept 1
## 7 7 30.3 Etanercept 1
## 8 8 38.1 Etanercept 1
## 9 9 30.3 Etanercept 1
## 10 10 27.2 Etanercept 1
## # … with 1,211 more rows
## variable n_distinct class
## 1 X 1221 integer
## 2 trial 1 character
## 3 trt 4 character
## 4 age 64 integer
## 5 bmi 248 numeric
## 6 male 2 logical
## 7 response 2 integer## # A tibble: 1,221 x 4
## # Groups: X, bmi [1,221]
## X trt bmi male
## <int> <chr> <dbl> <lgl>
## 1 1 Etanercept 34.5 TRUE
## 2 2 Etanercept 24.2 TRUE
## 3 3 Etanercept 26.1 TRUE
## 4 4 Etanercept 19.7 TRUE
## 5 5 Etanercept 30.3 TRUE
## 6 6 Etanercept 25.8 TRUE
## 7 7 Etanercept 30.3 TRUE
## 8 8 Etanercept 38.1 FALSE
## 9 9 Etanercept 30.3 FALSE
## 10 10 Etanercept 27.2 TRUE
## # … with 1,211 more rows
| X | bmi | trt | n |
|---|---|---|---|
| 1 | 34.5 | Etanercept | 1 |
| 2 | 24.2 | Etanercept | 1 |
| 3 | 26.1 | Etanercept | 1 |
| 4 | 19.7 | Etanercept | 1 |
| 5 | 30.3 | Etanercept | 1 |
| 6 | 25.8 | Etanercept | 1 |
| 7 | 30.3 | Etanercept | 1 |
| 8 | 38.1 | Etanercept | 1 |
| 9 | 30.3 | Etanercept | 1 |
| 10 | 27.2 | Etanercept | 1 |
| 11 | 31.5 | Etanercept | 1 |
| 12 | 23.4 | Etanercept | 1 |
| 13 | 27.5 | Etanercept | 1 |
| 14 | 22.7 | Etanercept | 1 |
| 15 | 34.6 | Etanercept | 1 |
| 16 | 22.6 | Etanercept | 1 |
| 17 | 41.9 | Etanercept | 1 |
| 18 | 45.2 | Etanercept | 1 |
| 19 | 28.1 | Etanercept | 1 |
| 20 | 30.2 | Etanercept | 1 |
| 21 | 25.1 | Etanercept | 1 |
| 22 | 28.9 | Etanercept | 1 |
| 23 | 27.3 | Etanercept | 1 |
| 24 | 25.8 | Etanercept | 1 |
| 25 | 40.3 | Etanercept | 1 |
| 26 | 28.7 | Etanercept | 1 |
| 27 | 31.1 | Etanercept | 1 |
| 28 | 30.0 | Etanercept | 1 |
| 29 | 39.2 | Etanercept | 1 |
| 30 | 19.8 | Etanercept | 1 |
| 31 | 35.6 | Etanercept | 1 |
| 32 | 38.8 | Etanercept | 1 |
| 33 | 30.2 | Etanercept | 1 |
| 34 | 56.9 | Etanercept | 1 |
| 35 | 43.5 | Etanercept | 1 |
| 36 | 36.6 | Etanercept | 1 |
| 37 | 22.6 | Etanercept | 1 |
| 38 | 23.4 | Etanercept | 1 |
| 39 | 31.7 | Etanercept | 1 |
| 40 | 28.7 | Etanercept | 1 |
| 41 | 24.5 | Etanercept | 1 |
| 42 | 23.9 | Etanercept | 1 |
| 43 | 29.0 | Etanercept | 1 |
| 44 | 31.9 | Etanercept | 1 |
| 45 | 35.8 | Etanercept | 1 |
| 46 | 24.2 | Etanercept | 1 |
| 47 | 24.2 | Etanercept | 1 |
| 48 | 30.3 | Etanercept | 1 |
| 49 | 45.6 | Etanercept | 1 |
| 50 | 26.3 | Etanercept | 1 |
| 51 | 40.7 | Etanercept | 1 |
| 52 | 26.3 | Etanercept | 1 |
| 53 | 38.1 | Etanercept | 1 |
| 54 | 23.5 | Etanercept | 1 |
| 55 | 25.0 | Etanercept | 1 |
| 56 | 26.6 | Etanercept | 1 |
| 57 | 48.5 | Etanercept | 1 |
| 58 | 29.5 | Etanercept | 1 |
| 59 | 36.6 | Etanercept | 1 |
| 60 | 35.4 | Etanercept | 1 |
| 61 | 41.4 | Etanercept | 1 |
| 62 | 26.8 | Etanercept | 1 |
| 63 | 38.2 | Etanercept | 1 |
| 64 | 31.1 | Etanercept | 1 |
| 65 | 30.5 | Etanercept | 1 |
| 66 | 26.9 | Etanercept | 1 |
| 67 | 27.4 | Etanercept | 1 |
| 68 | 25.1 | Etanercept | 1 |
| 69 | 33.0 | Etanercept | 1 |
| 70 | 35.4 | Etanercept | 1 |
| 71 | 36.0 | Etanercept | 1 |
| 72 | 31.8 | Etanercept | 1 |
| 73 | 29.8 | Etanercept | 1 |
| 74 | 27.3 | Etanercept | 1 |
| 75 | 26.3 | Etanercept | 1 |
| 76 | 27.3 | Etanercept | 1 |
| 77 | 34.2 | Etanercept | 1 |
| 78 | 25.8 | Etanercept | 1 |
| 79 | 24.4 | Etanercept | 1 |
| 80 | 45.2 | Etanercept | 1 |
| 81 | 24.2 | Etanercept | 1 |
| 82 | 24.8 | Etanercept | 1 |
| 83 | 25.5 | Etanercept | 1 |
| 84 | 35.1 | Etanercept | 1 |
| 85 | 38.2 | Etanercept | 1 |
| 86 | 27.3 | Etanercept | 1 |
| 87 | 36.3 | Etanercept | 1 |
| 88 | 21.6 | Etanercept | 1 |
| 89 | 40.7 | Etanercept | 1 |
| 90 | 30.0 | Etanercept | 1 |
| 91 | 21.1 | Etanercept | 1 |
| 92 | 36.0 | Etanercept | 1 |
| 93 | 31.7 | Etanercept | 1 |
| 94 | 29.9 | Etanercept | 1 |
| 95 | 35.4 | Etanercept | 1 |
| 96 | 39.5 | Etanercept | 1 |
| 97 | 30.9 | Etanercept | 1 |
| 98 | 25.8 | Etanercept | 1 |
| 99 | 35.7 | Etanercept | 1 |
| 100 | 27.5 | Etanercept | 1 |
| 101 | 28.7 | Etanercept | 1 |
| 102 | 31.4 | Etanercept | 1 |
| 103 | 25.9 | Etanercept | 1 |
| 104 | 30.8 | Etanercept | 1 |
| 105 | 33.9 | Etanercept | 1 |
| 106 | 30.5 | Etanercept | 1 |
| 107 | 26.8 | Etanercept | 1 |
| 108 | 22.6 | Etanercept | 1 |
| 109 | 40.5 | Etanercept | 1 |
| 110 | 23.5 | Etanercept | 1 |
| 111 | 21.1 | Etanercept | 1 |
| 112 | 27.8 | Etanercept | 1 |
| 113 | 39.9 | Etanercept | 1 |
| 114 | 28.7 | Etanercept | 1 |
| 115 | 25.9 | Etanercept | 1 |
| 116 | 25.2 | Etanercept | 1 |
| 117 | 29.5 | Etanercept | 1 |
| 118 | 31.6 | Etanercept | 1 |
| 119 | 36.0 | Etanercept | 1 |
| 120 | 27.3 | Etanercept | 1 |
| 121 | 39.5 | Etanercept | 1 |
| 122 | 22.2 | Etanercept | 1 |
| 123 | 42.5 | Etanercept | 1 |
| 124 | 34.5 | Etanercept | 1 |
| 125 | 30.8 | Etanercept | 1 |
| 126 | 29.7 | Etanercept | 1 |
| 127 | 31.5 | Etanercept | 1 |
| 128 | 31.4 | Etanercept | 1 |
| 129 | 34.9 | Etanercept | 1 |
| 130 | 33.9 | Etanercept | 1 |
| 131 | 26.7 | Etanercept | 1 |
| 132 | 24.6 | Etanercept | 1 |
| 133 | 39.3 | Etanercept | 1 |
| 134 | 30.9 | Etanercept | 1 |
| 135 | 25.9 | Etanercept | 1 |
| 136 | 25.7 | Etanercept | 1 |
| 137 | 31.1 | Etanercept | 1 |
| 138 | 28.3 | Etanercept | 1 |
| 139 | 48.5 | Etanercept | 1 |
| 140 | 28.6 | Etanercept | 1 |
| 141 | 26.0 | Etanercept | 1 |
| 142 | 31.7 | Etanercept | 1 |
| 143 | 38.9 | Etanercept | 1 |
| 144 | 45.3 | Etanercept | 1 |
| 145 | 31.1 | Etanercept | 1 |
| 146 | 24.2 | Etanercept | 1 |
| 147 | 31.2 | Etanercept | 1 |
| 148 | 29.3 | Etanercept | 1 |
| 149 | 19.7 | Etanercept | 1 |
| 150 | 24.0 | Etanercept | 1 |
| 151 | 28.4 | Etanercept | 1 |
| 152 | 36.3 | Etanercept | 1 |
| 153 | 35.1 | Etanercept | 1 |
| 154 | 50.6 | Etanercept | 1 |
| 155 | 36.9 | Etanercept | 1 |
| 156 | 28.4 | Etanercept | 1 |
| 157 | 31.7 | Etanercept | 1 |
| 158 | 56.9 | Etanercept | 1 |
| 159 | 21.1 | Etanercept | 1 |
| 160 | 25.2 | Etanercept | 1 |
| 161 | 35.4 | Etanercept | 1 |
| 162 | 26.8 | Etanercept | 1 |
| 163 | 46.8 | Etanercept | 1 |
| 164 | 28.0 | Etanercept | 1 |
| 165 | 40.7 | Etanercept | 1 |
| 166 | 41.9 | Etanercept | 1 |
| 167 | 30.8 | Etanercept | 1 |
| 168 | 36.0 | Etanercept | 1 |
| 169 | 35.0 | Etanercept | 1 |
| 170 | 32.4 | Etanercept | 1 |
| 171 | 33.9 | Etanercept | 1 |
| 172 | 36.6 | Etanercept | 1 |
| 173 | 33.1 | Etanercept | 1 |
| 174 | 44.7 | Etanercept | 1 |
| 175 | 26.1 | Etanercept | 1 |
| 176 | 35.8 | Etanercept | 1 |
| 177 | 35.6 | Etanercept | 1 |
| 178 | 22.0 | Etanercept | 1 |
| 179 | 25.7 | Etanercept | 1 |
| 180 | 24.3 | Etanercept | 1 |
| 181 | 31.4 | Etanercept | 1 |
| 182 | 26.3 | Etanercept | 1 |
| 183 | 38.8 | Etanercept | 1 |
| 184 | 25.4 | Etanercept | 1 |
| 185 | 24.0 | Etanercept | 1 |
| 186 | 29.0 | Etanercept | 1 |
| 187 | 28.7 | Etanercept | 1 |
| 188 | 31.5 | Etanercept | 1 |
| 189 | 23.4 | Etanercept | 1 |
| 190 | 26.8 | Etanercept | 1 |
| 191 | 29.7 | Etanercept | 1 |
| 192 | 26.0 | Etanercept | 1 |
| 193 | 31.7 | Etanercept | 1 |
| 194 | 30.8 | Etanercept | 1 |
| 195 | 27.5 | Etanercept | 1 |
| 196 | 27.6 | Etanercept | 1 |
| 197 | 41.2 | Etanercept | 1 |
| 198 | 23.8 | Etanercept | 1 |
| 199 | 34.3 | Etanercept | 1 |
| 200 | 51.5 | Etanercept | 1 |
| 201 | 32.0 | Etanercept | 1 |
| 202 | 43.8 | Etanercept | 1 |
| 203 | 21.1 | Etanercept | 1 |
| 204 | 27.3 | Etanercept | 1 |
| 205 | 26.1 | Etanercept | 1 |
| 206 | 30.0 | Etanercept | 1 |
| 207 | 33.2 | Etanercept | 1 |
| 208 | 38.3 | Etanercept | 1 |
| 209 | 28.4 | Etanercept | 1 |
| 210 | 31.0 | Etanercept | 1 |
| 211 | 32.7 | Etanercept | 1 |
| 212 | 35.6 | Etanercept | 1 |
| 213 | 25.3 | Etanercept | 1 |
| 214 | 21.8 | Etanercept | 1 |
| 215 | 50.6 | Etanercept | 1 |
| 216 | 36.9 | Etanercept | 1 |
| 217 | 44.8 | Etanercept | 1 |
| 218 | 24.2 | Etanercept | 1 |
| 219 | 26.8 | Etanercept | 1 |
| 220 | 26.3 | Etanercept | 1 |
| 221 | 23.5 | Etanercept | 1 |
| 222 | 20.7 | Etanercept | 1 |
| 223 | 25.5 | Etanercept | 1 |
| 224 | 40.7 | Etanercept | 1 |
| 225 | 30.5 | Etanercept | 1 |
| 226 | 33.9 | Etanercept | 1 |
| 227 | 28.0 | Etanercept | 1 |
| 228 | 25.2 | Etanercept | 1 |
| 229 | 27.2 | Etanercept | 1 |
| 230 | 30.8 | Etanercept | 1 |
| 231 | 29.7 | Etanercept | 1 |
| 232 | 23.5 | Etanercept | 1 |
| 233 | 30.4 | Etanercept | 1 |
| 234 | 33.5 | Etanercept | 1 |
| 235 | 24.2 | Etanercept | 1 |
| 236 | 30.3 | Etanercept | 1 |
| 237 | 20.0 | Etanercept | 1 |
| 238 | 28.2 | Etanercept | 1 |
| 239 | 25.2 | Etanercept | 1 |
| 240 | 43.3 | Etanercept | 1 |
| 241 | 28.0 | Etanercept | 1 |
| 242 | 31.7 | Etanercept | 1 |
| 243 | 30.1 | Etanercept | 1 |
| 244 | 40.7 | Etanercept | 1 |
| 245 | 39.3 | Etanercept | 1 |
| 246 | 37.9 | Etanercept | 1 |
| 247 | 37.8 | Etanercept | 1 |
| 248 | 22.9 | Etanercept | 1 |
| 249 | 38.2 | Etanercept | 1 |
| 250 | 35.1 | Etanercept | 1 |
| 251 | 28.4 | Etanercept | 1 |
| 252 | 29.7 | Etanercept | 1 |
| 253 | 45.2 | Etanercept | 1 |
| 254 | 26.3 | Etanercept | 1 |
| 255 | 40.4 | Etanercept | 1 |
| 256 | 41.2 | Etanercept | 1 |
| 257 | 39.7 | Etanercept | 1 |
| 258 | 58.6 | Etanercept | 1 |
| 259 | 25.0 | Etanercept | 1 |
| 260 | 24.5 | Etanercept | 1 |
| 261 | 25.8 | Etanercept | 1 |
| 262 | 24.2 | Etanercept | 1 |
| 263 | 30.1 | Etanercept | 1 |
| 264 | 29.1 | Etanercept | 1 |
| 265 | 26.6 | Etanercept | 1 |
| 266 | 24.2 | Etanercept | 1 |
| 267 | 25.1 | Etanercept | 1 |
| 268 | 28.2 | Etanercept | 1 |
| 269 | 21.2 | Etanercept | 1 |
| 270 | 34.3 | Etanercept | 1 |
| 271 | 41.9 | Etanercept | 1 |
| 272 | 27.3 | Etanercept | 1 |
| 273 | 41.9 | Etanercept | 1 |
| 274 | 26.1 | Etanercept | 1 |
| 275 | 34.6 | Etanercept | 1 |
| 276 | 27.3 | Etanercept | 1 |
| 277 | 27.9 | Etanercept | 1 |
| 278 | 38.3 | Etanercept | 1 |
| 279 | 25.7 | Etanercept | 1 |
| 280 | 35.7 | Etanercept | 1 |
| 281 | 33.2 | Etanercept | 1 |
| 282 | 30.3 | Etanercept | 1 |
| 283 | 26.9 | Etanercept | 1 |
| 284 | 26.0 | Etanercept | 1 |
| 285 | 26.3 | Etanercept | 1 |
| 286 | 46.8 | Etanercept | 1 |
| 287 | 27.5 | Etanercept | 1 |
| 288 | 33.9 | Etanercept | 1 |
| 289 | 34.1 | Etanercept | 1 |
| 290 | 27.2 | Etanercept | 1 |
| 291 | 45.1 | Etanercept | 1 |
| 292 | 23.3 | Etanercept | 1 |
| 293 | 41.2 | Etanercept | 1 |
| 294 | 29.7 | Etanercept | 1 |
| 295 | 21.1 | Etanercept | 1 |
| 296 | 35.4 | Etanercept | 1 |
| 297 | 24.2 | Etanercept | 1 |
| 298 | 32.3 | Etanercept | 1 |
| 299 | 39.7 | Etanercept | 1 |
| 300 | 21.1 | Etanercept | 1 |
| 301 | 27.6 | Etanercept | 1 |
| 302 | 51.0 | Etanercept | 1 |
| 303 | 33.6 | Etanercept | 1 |
| 304 | 24.9 | Etanercept | 1 |
| 305 | 22.1 | Etanercept | 1 |
| 306 | 39.5 | Etanercept | 1 |
| 307 | 23.6 | Etanercept | 1 |
| 308 | 43.5 | Etanercept | 1 |
| 309 | 35.0 | Etanercept | 1 |
| 310 | 34.9 | Etanercept | 1 |
| 311 | 31.6 | Etanercept | 1 |
| 312 | 29.3 | Etanercept | 1 |
| 313 | 27.3 | Etanercept | 1 |
| 314 | 38.3 | Etanercept | 1 |
| 315 | 28.0 | Etanercept | 1 |
| 316 | 50.6 | Etanercept | 1 |
| 317 | 26.6 | Etanercept | 1 |
| 318 | 31.3 | Etanercept | 1 |
| 319 | 36.3 | Etanercept | 1 |
| 320 | 23.5 | Etanercept | 1 |
| 321 | 22.3 | Etanercept | 1 |
| 322 | 33.4 | Etanercept | 1 |
| 323 | 34.5 | Etanercept | 1 |
| 324 | 36.3 | Etanercept | 1 |
| 325 | 29.3 | Etanercept | 1 |
| 326 | 30.5 | Etanercept | 1 |
| 327 | 26.1 | Etanercept | 1 |
| 328 | 29.9 | Etanercept | 1 |
| 329 | 21.1 | Etanercept | 1 |
| 330 | 47.8 | Etanercept | 1 |
| 331 | 39.3 | Etanercept | 1 |
| 332 | 23.6 | Etanercept | 1 |
| 333 | 24.3 | Etanercept | 1 |
| 334 | 25.2 | Etanercept | 1 |
| 335 | 35.4 | Etanercept | 1 |
| 336 | 27.7 | Etanercept | 1 |
| 337 | 23.5 | Etanercept | 1 |
| 338 | 33.9 | Etanercept | 1 |
| 339 | 27.8 | Etanercept | 1 |
| 340 | 25.2 | Etanercept | 1 |
| 341 | 29.0 | Etanercept | 1 |
| 342 | 31.2 | Etanercept | 1 |
| 343 | 23.1 | Etanercept | 1 |
| 344 | 27.3 | Etanercept | 1 |
| 345 | 40.4 | Etanercept | 1 |
| 346 | 41.2 | Etanercept | 1 |
| 347 | 51.0 | Etanercept | 1 |
| 348 | 35.3 | Etanercept | 1 |
| 349 | 25.9 | Etanercept | 1 |
| 350 | 24.5 | Etanercept | 1 |
| 351 | 33.1 | Etanercept | 1 |
| 352 | 24.0 | Etanercept | 1 |
| 353 | 49.6 | Etanercept | 1 |
| 354 | 28.4 | Etanercept | 1 |
| 355 | 29.9 | Etanercept | 1 |
| 356 | 34.6 | Etanercept | 1 |
| 357 | 27.8 | Etanercept | 1 |
| 358 | 42.7 | Ixekizumab Q2W | 1 |
| 359 | 29.8 | Ixekizumab Q2W | 1 |
| 360 | 20.5 | Ixekizumab Q2W | 1 |
| 361 | 29.4 | Ixekizumab Q2W | 1 |
| 362 | 38.7 | Ixekizumab Q2W | 1 |
| 363 | 24.1 | Ixekizumab Q2W | 1 |
| 364 | 32.6 | Ixekizumab Q2W | 1 |
| 365 | 24.1 | Ixekizumab Q2W | 1 |
| 366 | 23.3 | Ixekizumab Q2W | 1 |
| 367 | 28.1 | Ixekizumab Q2W | 1 |
| 368 | 29.0 | Ixekizumab Q2W | 1 |
| 369 | 27.5 | Ixekizumab Q2W | 1 |
| 370 | 27.7 | Ixekizumab Q2W | 1 |
| 371 | 23.2 | Ixekizumab Q2W | 1 |
| 372 | 36.0 | Ixekizumab Q2W | 1 |
| 373 | 36.0 | Ixekizumab Q2W | 1 |
| 374 | 25.3 | Ixekizumab Q2W | 1 |
| 375 | 30.8 | Ixekizumab Q2W | 1 |
| 376 | 30.1 | Ixekizumab Q2W | 1 |
| 377 | 25.3 | Ixekizumab Q2W | 1 |
| 378 | 30.7 | Ixekizumab Q2W | 1 |
| 379 | 26.1 | Ixekizumab Q2W | 1 |
| 380 | 25.6 | Ixekizumab Q2W | 1 |
| 381 | 33.8 | Ixekizumab Q2W | 1 |
| 382 | 27.9 | Ixekizumab Q2W | 1 |
| 383 | 33.5 | Ixekizumab Q2W | 1 |
| 384 | 24.8 | Ixekizumab Q2W | 1 |
| 385 | 32.8 | Ixekizumab Q2W | 1 |
| 386 | 31.2 | Ixekizumab Q2W | 1 |
| 387 | 25.0 | Ixekizumab Q2W | 1 |
| 388 | 34.9 | Ixekizumab Q2W | 1 |
| 389 | 26.5 | Ixekizumab Q2W | 1 |
| 390 | 28.7 | Ixekizumab Q2W | 1 |
| 391 | 35.2 | Ixekizumab Q2W | 1 |
| 392 | 25.4 | Ixekizumab Q2W | 1 |
| 393 | 32.6 | Ixekizumab Q2W | 1 |
| 394 | 28.1 | Ixekizumab Q2W | 1 |
| 395 | 30.1 | Ixekizumab Q2W | 1 |
| 396 | 32.5 | Ixekizumab Q2W | 1 |
| 397 | 23.5 | Ixekizumab Q2W | 1 |
| 398 | 21.5 | Ixekizumab Q2W | 1 |
| 399 | 30.7 | Ixekizumab Q2W | 1 |
| 400 | 27.5 | Ixekizumab Q2W | 1 |
| 401 | 23.0 | Ixekizumab Q2W | 1 |
| 402 | 21.1 | Ixekizumab Q2W | 1 |
| 403 | 19.9 | Ixekizumab Q2W | 1 |
| 404 | 34.2 | Ixekizumab Q2W | 1 |
| 405 | 33.5 | Ixekizumab Q2W | 1 |
| 406 | 38.7 | Ixekizumab Q2W | 1 |
| 407 | 40.4 | Ixekizumab Q2W | 1 |
| 408 | 30.8 | Ixekizumab Q2W | 1 |
| 409 | 28.1 | Ixekizumab Q2W | 1 |
| 410 | 31.1 | Ixekizumab Q2W | 1 |
| 411 | 27.3 | Ixekizumab Q2W | 1 |
| 412 | 33.0 | Ixekizumab Q2W | 1 |
| 413 | 21.2 | Ixekizumab Q2W | 1 |
| 414 | 28.4 | Ixekizumab Q2W | 1 |
| 415 | 44.1 | Ixekizumab Q2W | 1 |
| 416 | 22.7 | Ixekizumab Q2W | 1 |
| 417 | 22.7 | Ixekizumab Q2W | 1 |
| 418 | 26.8 | Ixekizumab Q2W | 1 |
| 419 | 26.0 | Ixekizumab Q2W | 1 |
| 420 | 44.0 | Ixekizumab Q2W | 1 |
| 421 | 29.8 | Ixekizumab Q2W | 1 |
| 422 | 54.0 | Ixekizumab Q2W | 1 |
| 423 | 42.3 | Ixekizumab Q2W | 1 |
| 424 | 22.3 | Ixekizumab Q2W | 1 |
| 425 | 21.7 | Ixekizumab Q2W | 1 |
| 426 | 42.7 | Ixekizumab Q2W | 1 |
| 427 | 37.3 | Ixekizumab Q2W | 1 |
| 428 | 23.2 | Ixekizumab Q2W | 1 |
| 429 | 32.7 | Ixekizumab Q2W | 1 |
| 430 | 27.7 | Ixekizumab Q2W | 1 |
| 431 | 26.5 | Ixekizumab Q2W | 1 |
| 432 | 31.6 | Ixekizumab Q2W | 1 |
| 433 | 23.5 | Ixekizumab Q2W | 1 |
| 434 | 33.0 | Ixekizumab Q2W | 1 |
| 435 | 26.9 | Ixekizumab Q2W | 1 |
| 436 | 21.7 | Ixekizumab Q2W | 1 |
| 437 | 35.2 | Ixekizumab Q2W | 1 |
| 438 | 25.0 | Ixekizumab Q2W | 1 |
| 439 | 25.4 | Ixekizumab Q2W | 1 |
| 440 | 24.8 | Ixekizumab Q2W | 1 |
| 441 | 35.4 | Ixekizumab Q2W | 1 |
| 442 | 47.9 | Ixekizumab Q2W | 1 |
| 443 | 23.0 | Ixekizumab Q2W | 1 |
| 444 | 32.0 | Ixekizumab Q2W | 1 |
| 445 | 60.2 | Ixekizumab Q2W | 1 |
| 446 | 21.1 | Ixekizumab Q2W | 1 |
| 447 | 49.0 | Ixekizumab Q2W | 1 |
| 448 | 34.1 | Ixekizumab Q2W | 1 |
| 449 | 27.4 | Ixekizumab Q2W | 1 |
| 450 | 27.7 | Ixekizumab Q2W | 1 |
| 451 | 23.1 | Ixekizumab Q2W | 1 |
| 452 | 44.1 | Ixekizumab Q2W | 1 |
| 453 | 28.9 | Ixekizumab Q2W | 1 |
| 454 | 29.6 | Ixekizumab Q2W | 1 |
| 455 | 24.0 | Ixekizumab Q2W | 1 |
| 456 | 33.3 | Ixekizumab Q2W | 1 |
| 457 | 27.2 | Ixekizumab Q2W | 1 |
| 458 | 27.1 | Ixekizumab Q2W | 1 |
| 459 | 31.9 | Ixekizumab Q2W | 1 |
| 460 | 33.7 | Ixekizumab Q2W | 1 |
| 461 | 38.7 | Ixekizumab Q2W | 1 |
| 462 | 23.2 | Ixekizumab Q2W | 1 |
| 463 | 31.4 | Ixekizumab Q2W | 1 |
| 464 | 26.9 | Ixekizumab Q2W | 1 |
| 465 | 23.5 | Ixekizumab Q2W | 1 |
| 466 | 32.7 | Ixekizumab Q2W | 1 |
| 467 | 27.5 | Ixekizumab Q2W | 1 |
| 468 | 32.8 | Ixekizumab Q2W | 1 |
| 469 | 23.2 | Ixekizumab Q2W | 1 |
| 470 | 30.1 | Ixekizumab Q2W | 1 |
| 471 | 26.6 | Ixekizumab Q2W | 1 |
| 472 | 28.9 | Ixekizumab Q2W | 1 |
| 473 | 23.4 | Ixekizumab Q2W | 1 |
| 474 | 28.4 | Ixekizumab Q2W | 1 |
| 475 | 28.7 | Ixekizumab Q2W | 1 |
| 476 | 21.1 | Ixekizumab Q2W | 1 |
| 477 | 25.2 | Ixekizumab Q2W | 1 |
| 478 | 32.0 | Ixekizumab Q2W | 1 |
| 479 | 24.0 | Ixekizumab Q2W | 1 |
| 480 | 32.4 | Ixekizumab Q2W | 1 |
| 481 | 38.9 | Ixekizumab Q2W | 1 |
| 482 | 24.2 | Ixekizumab Q2W | 1 |
| 483 | 32.4 | Ixekizumab Q2W | 1 |
| 484 | 27.9 | Ixekizumab Q2W | 1 |
| 485 | 28.7 | Ixekizumab Q2W | 1 |
| 486 | 32.4 | Ixekizumab Q2W | 1 |
| 487 | 22.1 | Ixekizumab Q2W | 1 |
| 488 | 32.3 | Ixekizumab Q2W | 1 |
| 489 | 32.7 | Ixekizumab Q2W | 1 |
| 490 | 27.6 | Ixekizumab Q2W | 1 |
| 491 | 25.0 | Ixekizumab Q2W | 1 |
| 492 | 23.1 | Ixekizumab Q2W | 1 |
| 493 | 27.9 | Ixekizumab Q2W | 1 |
| 494 | 29.8 | Ixekizumab Q2W | 1 |
| 495 | 21.1 | Ixekizumab Q2W | 1 |
| 496 | 35.4 | Ixekizumab Q2W | 1 |
| 497 | 23.7 | Ixekizumab Q2W | 1 |
| 498 | 25.5 | Ixekizumab Q2W | 1 |
| 499 | 26.6 | Ixekizumab Q2W | 1 |
| 500 | 42.7 | Ixekizumab Q2W | 1 |
| 501 | 53.4 | Ixekizumab Q2W | 1 |
| 502 | 34.9 | Ixekizumab Q2W | 1 |
| 503 | 29.6 | Ixekizumab Q2W | 1 |
| 504 | 23.5 | Ixekizumab Q2W | 1 |
| 505 | 30.7 | Ixekizumab Q2W | 1 |
| 506 | 44.3 | Ixekizumab Q2W | 1 |
| 507 | 29.6 | Ixekizumab Q2W | 1 |
| 508 | 22.6 | Ixekizumab Q2W | 1 |
| 509 | 32.3 | Ixekizumab Q2W | 1 |
| 510 | 21.1 | Ixekizumab Q2W | 1 |
| 511 | 27.7 | Ixekizumab Q2W | 1 |
| 512 | 32.5 | Ixekizumab Q2W | 1 |
| 513 | 32.4 | Ixekizumab Q2W | 1 |
| 514 | 18.3 | Ixekizumab Q2W | 1 |
| 515 | 26.3 | Ixekizumab Q2W | 1 |
| 516 | 27.6 | Ixekizumab Q2W | 1 |
| 517 | 31.4 | Ixekizumab Q2W | 1 |
| 518 | 27.8 | Ixekizumab Q2W | 1 |
| 519 | 37.6 | Ixekizumab Q2W | 1 |
| 520 | 33.3 | Ixekizumab Q2W | 1 |
| 521 | 26.4 | Ixekizumab Q2W | 1 |
| 522 | 22.5 | Ixekizumab Q2W | 1 |
| 523 | 32.8 | Ixekizumab Q2W | 1 |
| 524 | 30.7 | Ixekizumab Q2W | 1 |
| 525 | 23.8 | Ixekizumab Q2W | 1 |
| 526 | 29.4 | Ixekizumab Q2W | 1 |
| 527 | 27.5 | Ixekizumab Q2W | 1 |
| 528 | 26.6 | Ixekizumab Q2W | 1 |
| 529 | 26.8 | Ixekizumab Q2W | 1 |
| 530 | 28.8 | Ixekizumab Q2W | 1 |
| 531 | 31.3 | Ixekizumab Q2W | 1 |
| 532 | 29.8 | Ixekizumab Q2W | 1 |
| 533 | 19.9 | Ixekizumab Q2W | 1 |
| 534 | 38.4 | Ixekizumab Q2W | 1 |
| 535 | 22.1 | Ixekizumab Q2W | 1 |
| 536 | 44.3 | Ixekizumab Q2W | 1 |
| 537 | 19.9 | Ixekizumab Q2W | 1 |
| 538 | 38.7 | Ixekizumab Q2W | 1 |
| 539 | 29.2 | Ixekizumab Q2W | 1 |
| 540 | 23.4 | Ixekizumab Q2W | 1 |
| 541 | 27.2 | Ixekizumab Q2W | 1 |
| 542 | 29.0 | Ixekizumab Q2W | 1 |
| 543 | 28.2 | Ixekizumab Q2W | 1 |
| 544 | 25.5 | Ixekizumab Q2W | 1 |
| 545 | 48.9 | Ixekizumab Q2W | 1 |
| 546 | 25.2 | Ixekizumab Q2W | 1 |
| 547 | 40.0 | Ixekizumab Q2W | 1 |
| 548 | 32.7 | Ixekizumab Q2W | 1 |
| 549 | 26.0 | Ixekizumab Q2W | 1 |
| 550 | 31.4 | Ixekizumab Q2W | 1 |
| 551 | 40.7 | Ixekizumab Q2W | 1 |
| 552 | 25.5 | Ixekizumab Q2W | 1 |
| 553 | 29.7 | Ixekizumab Q2W | 1 |
| 554 | 29.4 | Ixekizumab Q2W | 1 |
| 555 | 26.1 | Ixekizumab Q2W | 1 |
| 556 | 25.1 | Ixekizumab Q2W | 1 |
| 557 | 38.9 | Ixekizumab Q2W | 1 |
| 558 | 37.6 | Ixekizumab Q2W | 1 |
| 559 | 36.0 | Ixekizumab Q2W | 1 |
| 560 | 30.1 | Ixekizumab Q2W | 1 |
| 561 | 29.6 | Ixekizumab Q2W | 1 |
| 562 | 37.6 | Ixekizumab Q2W | 1 |
| 563 | 26.2 | Ixekizumab Q2W | 1 |
| 564 | 30.1 | Ixekizumab Q2W | 1 |
| 565 | 30.4 | Ixekizumab Q2W | 1 |
| 566 | 29.0 | Ixekizumab Q2W | 1 |
| 567 | 24.8 | Ixekizumab Q2W | 1 |
| 568 | 35.4 | Ixekizumab Q2W | 1 |
| 569 | 21.2 | Ixekizumab Q2W | 1 |
| 570 | 26.8 | Ixekizumab Q2W | 1 |
| 571 | 33.3 | Ixekizumab Q2W | 1 |
| 572 | 43.0 | Ixekizumab Q2W | 1 |
| 573 | 23.0 | Ixekizumab Q2W | 1 |
| 574 | 29.4 | Ixekizumab Q2W | 1 |
| 575 | 27.7 | Ixekizumab Q2W | 1 |
| 576 | 28.7 | Ixekizumab Q2W | 1 |
| 577 | 22.5 | Ixekizumab Q2W | 1 |
| 578 | 25.6 | Ixekizumab Q2W | 1 |
| 579 | 26.8 | Ixekizumab Q2W | 1 |
| 580 | 27.8 | Ixekizumab Q2W | 1 |
| 581 | 25.8 | Ixekizumab Q2W | 1 |
| 582 | 26.6 | Ixekizumab Q2W | 1 |
| 583 | 25.5 | Ixekizumab Q2W | 1 |
| 584 | 31.9 | Ixekizumab Q2W | 1 |
| 585 | 27.3 | Ixekizumab Q2W | 1 |
| 586 | 23.3 | Ixekizumab Q2W | 1 |
| 587 | 30.1 | Ixekizumab Q2W | 1 |
| 588 | 26.1 | Ixekizumab Q2W | 1 |
| 589 | 32.2 | Ixekizumab Q2W | 1 |
| 590 | 31.1 | Ixekizumab Q2W | 1 |
| 591 | 22.5 | Ixekizumab Q2W | 1 |
| 592 | 38.5 | Ixekizumab Q2W | 1 |
| 593 | 19.8 | Ixekizumab Q2W | 1 |
| 594 | 30.0 | Ixekizumab Q2W | 1 |
| 595 | 27.6 | Ixekizumab Q2W | 1 |
| 596 | 23.2 | Ixekizumab Q2W | 1 |
| 597 | 32.7 | Ixekizumab Q2W | 1 |
| 598 | 21.1 | Ixekizumab Q2W | 1 |
| 599 | 33.2 | Ixekizumab Q2W | 1 |
| 600 | 23.5 | Ixekizumab Q2W | 1 |
| 601 | 24.8 | Ixekizumab Q2W | 1 |
| 602 | 29.8 | Ixekizumab Q2W | 1 |
| 603 | 28.3 | Ixekizumab Q2W | 1 |
| 604 | 36.0 | Ixekizumab Q2W | 1 |
| 605 | 47.6 | Ixekizumab Q2W | 1 |
| 606 | 33.0 | Ixekizumab Q2W | 1 |
| 607 | 22.5 | Ixekizumab Q2W | 1 |
| 608 | 36.0 | Ixekizumab Q2W | 1 |
| 609 | 33.0 | Ixekizumab Q2W | 1 |
| 610 | 35.6 | Ixekizumab Q2W | 1 |
| 611 | 26.6 | Ixekizumab Q2W | 1 |
| 612 | 30.4 | Ixekizumab Q2W | 1 |
| 613 | 22.9 | Ixekizumab Q2W | 1 |
| 614 | 26.0 | Ixekizumab Q2W | 1 |
| 615 | 37.6 | Ixekizumab Q2W | 1 |
| 616 | 24.8 | Ixekizumab Q2W | 1 |
| 617 | 52.7 | Ixekizumab Q2W | 1 |
| 618 | 26.2 | Ixekizumab Q2W | 1 |
| 619 | 25.6 | Ixekizumab Q2W | 1 |
| 620 | 24.8 | Ixekizumab Q2W | 1 |
| 621 | 38.7 | Ixekizumab Q2W | 1 |
| 622 | 42.7 | Ixekizumab Q2W | 1 |
| 623 | 25.7 | Ixekizumab Q2W | 1 |
| 624 | 26.3 | Ixekizumab Q2W | 1 |
| 625 | 37.6 | Ixekizumab Q2W | 1 |
| 626 | 20.7 | Ixekizumab Q2W | 1 |
| 627 | 33.8 | Ixekizumab Q2W | 1 |
| 628 | 27.4 | Ixekizumab Q2W | 1 |
| 629 | 31.9 | Ixekizumab Q2W | 1 |
| 630 | 25.5 | Ixekizumab Q2W | 1 |
| 631 | 30.4 | Ixekizumab Q2W | 1 |
| 632 | 44.7 | Ixekizumab Q2W | 1 |
| 633 | 26.6 | Ixekizumab Q2W | 1 |
| 634 | 22.9 | Ixekizumab Q2W | 1 |
| 635 | 25.5 | Ixekizumab Q2W | 1 |
| 636 | 25.5 | Ixekizumab Q2W | 1 |
| 637 | 27.8 | Ixekizumab Q2W | 1 |
| 638 | 26.2 | Ixekizumab Q2W | 1 |
| 639 | 23.0 | Ixekizumab Q2W | 1 |
| 640 | 44.1 | Ixekizumab Q2W | 1 |
| 641 | 27.9 | Ixekizumab Q2W | 1 |
| 642 | 31.1 | Ixekizumab Q2W | 1 |
| 643 | 20.1 | Ixekizumab Q2W | 1 |
| 644 | 23.4 | Ixekizumab Q2W | 1 |
| 645 | 33.2 | Ixekizumab Q2W | 1 |
| 646 | 27.4 | Ixekizumab Q2W | 1 |
| 647 | 27.5 | Ixekizumab Q2W | 1 |
| 648 | 32.4 | Ixekizumab Q2W | 1 |
| 649 | 26.9 | Ixekizumab Q2W | 1 |
| 650 | 32.8 | Ixekizumab Q2W | 1 |
| 651 | 27.8 | Ixekizumab Q2W | 1 |
| 652 | 44.7 | Ixekizumab Q2W | 1 |
| 653 | 22.5 | Ixekizumab Q2W | 1 |
| 654 | 47.6 | Ixekizumab Q2W | 1 |
| 655 | 36.0 | Ixekizumab Q2W | 1 |
| 656 | 27.1 | Ixekizumab Q2W | 1 |
| 657 | 31.2 | Ixekizumab Q2W | 1 |
| 658 | 27.4 | Ixekizumab Q2W | 1 |
| 659 | 26.1 | Ixekizumab Q2W | 1 |
| 660 | 34.1 | Ixekizumab Q2W | 1 |
| 661 | 19.4 | Ixekizumab Q2W | 1 |
| 662 | 36.3 | Ixekizumab Q2W | 1 |
| 663 | 36.0 | Ixekizumab Q2W | 1 |
| 664 | 28.1 | Ixekizumab Q2W | 1 |
| 665 | 38.7 | Ixekizumab Q2W | 1 |
| 666 | 38.9 | Ixekizumab Q2W | 1 |
| 667 | 25.5 | Ixekizumab Q2W | 1 |
| 668 | 22.2 | Ixekizumab Q2W | 1 |
| 669 | 19.9 | Ixekizumab Q2W | 1 |
| 670 | 32.2 | Ixekizumab Q2W | 1 |
| 671 | 49.0 | Ixekizumab Q2W | 1 |
| 672 | 31.1 | Ixekizumab Q2W | 1 |
| 673 | 23.5 | Ixekizumab Q2W | 1 |
| 674 | 44.0 | Ixekizumab Q2W | 1 |
| 675 | 29.8 | Ixekizumab Q2W | 1 |
| 676 | 32.0 | Ixekizumab Q2W | 1 |
| 677 | 52.7 | Ixekizumab Q2W | 1 |
| 678 | 32.8 | Ixekizumab Q2W | 1 |
| 679 | 32.7 | Ixekizumab Q2W | 1 |
| 680 | 35.5 | Ixekizumab Q2W | 1 |
| 681 | 32.1 | Ixekizumab Q2W | 1 |
| 682 | 24.4 | Ixekizumab Q2W | 1 |
| 683 | 27.6 | Ixekizumab Q2W | 1 |
| 684 | 23.8 | Ixekizumab Q2W | 1 |
| 685 | 32.6 | Ixekizumab Q2W | 1 |
| 686 | 32.0 | Ixekizumab Q2W | 1 |
| 687 | 36.4 | Ixekizumab Q2W | 1 |
| 688 | 21.7 | Ixekizumab Q2W | 1 |
| 689 | 22.5 | Ixekizumab Q2W | 1 |
| 690 | 39.3 | Ixekizumab Q2W | 1 |
| 691 | 26.8 | Ixekizumab Q2W | 1 |
| 692 | 24.8 | Ixekizumab Q2W | 1 |
| 693 | 29.6 | Ixekizumab Q2W | 1 |
| 694 | 53.4 | Ixekizumab Q2W | 1 |
| 695 | 28.3 | Ixekizumab Q2W | 1 |
| 696 | 25.3 | Ixekizumab Q2W | 1 |
| 697 | 32.1 | Ixekizumab Q2W | 1 |
| 698 | 36.8 | Ixekizumab Q2W | 1 |
| 699 | 25.4 | Ixekizumab Q2W | 1 |
| 700 | 30.7 | Ixekizumab Q2W | 1 |
| 701 | 21.1 | Ixekizumab Q2W | 1 |
| 702 | 29.6 | Ixekizumab Q2W | 1 |
| 703 | 26.0 | Ixekizumab Q2W | 1 |
| 704 | 31.2 | Ixekizumab Q2W | 1 |
| 705 | 19.9 | Ixekizumab Q2W | 1 |
| 706 | 31.7 | Ixekizumab Q2W | 1 |
| 707 | 32.1 | Ixekizumab Q2W | 1 |
| 708 | 37.3 | Ixekizumab Q4W | 1 |
| 709 | 28.6 | Ixekizumab Q4W | 1 |
| 710 | 27.9 | Ixekizumab Q4W | 1 |
| 711 | 48.2 | Ixekizumab Q4W | 1 |
| 712 | 42.0 | Ixekizumab Q4W | 1 |
| 713 | 30.3 | Ixekizumab Q4W | 1 |
| 714 | 22.0 | Ixekizumab Q4W | 1 |
| 715 | 34.8 | Ixekizumab Q4W | 1 |
| 716 | 35.0 | Ixekizumab Q4W | 1 |
| 717 | 24.4 | Ixekizumab Q4W | 1 |
| 718 | 28.4 | Ixekizumab Q4W | 1 |
| 719 | 29.0 | Ixekizumab Q4W | 1 |
| 720 | NaN | Ixekizumab Q4W | 1 |
| 721 | 22.4 | Ixekizumab Q4W | 1 |
| 722 | 29.3 | Ixekizumab Q4W | 1 |
| 723 | 27.7 | Ixekizumab Q4W | 1 |
| 724 | 43.9 | Ixekizumab Q4W | 1 |
| 725 | 43.4 | Ixekizumab Q4W | 1 |
| 726 | 24.2 | Ixekizumab Q4W | 1 |
| 727 | 43.4 | Ixekizumab Q4W | 1 |
| 728 | 26.0 | Ixekizumab Q4W | 1 |
| 729 | 24.8 | Ixekizumab Q4W | 1 |
| 730 | 29.6 | Ixekizumab Q4W | 1 |
| 731 | 37.0 | Ixekizumab Q4W | 1 |
| 732 | 29.3 | Ixekizumab Q4W | 1 |
| 733 | 28.6 | Ixekizumab Q4W | 1 |
| 734 | 26.6 | Ixekizumab Q4W | 1 |
| 735 | 24.6 | Ixekizumab Q4W | 1 |
| 736 | 21.0 | Ixekizumab Q4W | 1 |
| 737 | 20.6 | Ixekizumab Q4W | 1 |
| 738 | 32.0 | Ixekizumab Q4W | 1 |
| 739 | 40.4 | Ixekizumab Q4W | 1 |
| 740 | 35.9 | Ixekizumab Q4W | 1 |
| 741 | 40.9 | Ixekizumab Q4W | 1 |
| 742 | 31.2 | Ixekizumab Q4W | 1 |
| 743 | 26.9 | Ixekizumab Q4W | 1 |
| 744 | 22.7 | Ixekizumab Q4W | 1 |
| 745 | 31.9 | Ixekizumab Q4W | 1 |
| 746 | 53.8 | Ixekizumab Q4W | 1 |
| 747 | 20.6 | Ixekizumab Q4W | 1 |
| 748 | 23.9 | Ixekizumab Q4W | 1 |
| 749 | 34.4 | Ixekizumab Q4W | 1 |
| 750 | 27.2 | Ixekizumab Q4W | 1 |
| 751 | 38.4 | Ixekizumab Q4W | 1 |
| 752 | 37.2 | Ixekizumab Q4W | 1 |
| 753 | 34.2 | Ixekizumab Q4W | 1 |
| 754 | 32.5 | Ixekizumab Q4W | 1 |
| 755 | 31.8 | Ixekizumab Q4W | 1 |
| 756 | 38.4 | Ixekizumab Q4W | 1 |
| 757 | 32.0 | Ixekizumab Q4W | 1 |
| 758 | 31.6 | Ixekizumab Q4W | 1 |
| 759 | 29.3 | Ixekizumab Q4W | 1 |
| 760 | 29.0 | Ixekizumab Q4W | 1 |
| 761 | 21.4 | Ixekizumab Q4W | 1 |
| 762 | 37.9 | Ixekizumab Q4W | 1 |
| 763 | 29.3 | Ixekizumab Q4W | 1 |
| 764 | 33.8 | Ixekizumab Q4W | 1 |
| 765 | 38.5 | Ixekizumab Q4W | 1 |
| 766 | 23.0 | Ixekizumab Q4W | 1 |
| 767 | 38.8 | Ixekizumab Q4W | 1 |
| 768 | 28.8 | Ixekizumab Q4W | 1 |
| 769 | 23.3 | Ixekizumab Q4W | 1 |
| 770 | 30.0 | Ixekizumab Q4W | 1 |
| 771 | 31.6 | Ixekizumab Q4W | 1 |
| 772 | 24.6 | Ixekizumab Q4W | 1 |
| 773 | 29.7 | Ixekizumab Q4W | 1 |
| 774 | 30.7 | Ixekizumab Q4W | 1 |
| 775 | 37.9 | Ixekizumab Q4W | 1 |
| 776 | 29.9 | Ixekizumab Q4W | 1 |
| 777 | 23.2 | Ixekizumab Q4W | 1 |
| 778 | 25.9 | Ixekizumab Q4W | 1 |
| 779 | 31.0 | Ixekizumab Q4W | 1 |
| 780 | 34.2 | Ixekizumab Q4W | 1 |
| 781 | 24.2 | Ixekizumab Q4W | 1 |
| 782 | 26.8 | Ixekizumab Q4W | 1 |
| 783 | 37.3 | Ixekizumab Q4W | 1 |
| 784 | 31.6 | Ixekizumab Q4W | 1 |
| 785 | 30.6 | Ixekizumab Q4W | 1 |
| 786 | 34.8 | Ixekizumab Q4W | 1 |
| 787 | 43.4 | Ixekizumab Q4W | 1 |
| 788 | 23.0 | Ixekizumab Q4W | 1 |
| 789 | 25.8 | Ixekizumab Q4W | 1 |
| 790 | 32.3 | Ixekizumab Q4W | 1 |
| 791 | 27.5 | Ixekizumab Q4W | 1 |
| 792 | 30.5 | Ixekizumab Q4W | 1 |
| 793 | 40.6 | Ixekizumab Q4W | 1 |
| 794 | 29.4 | Ixekizumab Q4W | 1 |
| 795 | 32.0 | Ixekizumab Q4W | 1 |
| 796 | 42.6 | Ixekizumab Q4W | 1 |
| 797 | 26.6 | Ixekizumab Q4W | 1 |
| 798 | 47.6 | Ixekizumab Q4W | 1 |
| 799 | 27.9 | Ixekizumab Q4W | 1 |
| 800 | 24.8 | Ixekizumab Q4W | 1 |
| 801 | 23.6 | Ixekizumab Q4W | 1 |
| 802 | 29.3 | Ixekizumab Q4W | 1 |
| 803 | 26.0 | Ixekizumab Q4W | 1 |
| 804 | 50.5 | Ixekizumab Q4W | 1 |
| 805 | 31.9 | Ixekizumab Q4W | 1 |
| 806 | 26.5 | Ixekizumab Q4W | 1 |
| 807 | 33.3 | Ixekizumab Q4W | 1 |
| 808 | 34.6 | Ixekizumab Q4W | 1 |
| 809 | 24.8 | Ixekizumab Q4W | 1 |
| 810 | 24.9 | Ixekizumab Q4W | 1 |
| 811 | 27.7 | Ixekizumab Q4W | 1 |
| 812 | 23.8 | Ixekizumab Q4W | 1 |
| 813 | 33.5 | Ixekizumab Q4W | 1 |
| 814 | 25.4 | Ixekizumab Q4W | 1 |
| 815 | 33.1 | Ixekizumab Q4W | 1 |
| 816 | 31.2 | Ixekizumab Q4W | 1 |
| 817 | 26.0 | Ixekizumab Q4W | 1 |
| 818 | 33.3 | Ixekizumab Q4W | 1 |
| 819 | 34.0 | Ixekizumab Q4W | 1 |
| 820 | 42.6 | Ixekizumab Q4W | 1 |
| 821 | 38.4 | Ixekizumab Q4W | 1 |
| 822 | 28.4 | Ixekizumab Q4W | 1 |
| 823 | 26.7 | Ixekizumab Q4W | 1 |
| 824 | 33.3 | Ixekizumab Q4W | 1 |
| 825 | 23.5 | Ixekizumab Q4W | 1 |
| 826 | 32.0 | Ixekizumab Q4W | 1 |
| 827 | 34.6 | Ixekizumab Q4W | 1 |
| 828 | 38.4 | Ixekizumab Q4W | 1 |
| 829 | 34.3 | Ixekizumab Q4W | 1 |
| 830 | 24.6 | Ixekizumab Q4W | 1 |
| 831 | 25.4 | Ixekizumab Q4W | 1 |
| 832 | 34.2 | Ixekizumab Q4W | 1 |
| 833 | 33.6 | Ixekizumab Q4W | 1 |
| 834 | 30.1 | Ixekizumab Q4W | 1 |
| 835 | 32.0 | Ixekizumab Q4W | 1 |
| 836 | 25.6 | Ixekizumab Q4W | 1 |
| 837 | 42.6 | Ixekizumab Q4W | 1 |
| 838 | 26.3 | Ixekizumab Q4W | 1 |
| 839 | 26.9 | Ixekizumab Q4W | 1 |
| 840 | 30.6 | Ixekizumab Q4W | 1 |
| 841 | 27.4 | Ixekizumab Q4W | 1 |
| 842 | 23.5 | Ixekizumab Q4W | 1 |
| 843 | 38.8 | Ixekizumab Q4W | 1 |
| 844 | 31.6 | Ixekizumab Q4W | 1 |
| 845 | 27.8 | Ixekizumab Q4W | 1 |
| 846 | 31.8 | Ixekizumab Q4W | 1 |
| 847 | 30.3 | Ixekizumab Q4W | 1 |
| 848 | 22.0 | Ixekizumab Q4W | 1 |
| 849 | 42.3 | Ixekizumab Q4W | 1 |
| 850 | 29.3 | Ixekizumab Q4W | 1 |
| 851 | 35.4 | Ixekizumab Q4W | 1 |
| 852 | 32.7 | Ixekizumab Q4W | 1 |
| 853 | 43.7 | Ixekizumab Q4W | 1 |
| 854 | 43.9 | Ixekizumab Q4W | 1 |
| 855 | 31.4 | Ixekizumab Q4W | 1 |
| 856 | 32.7 | Ixekizumab Q4W | 1 |
| 857 | 22.8 | Ixekizumab Q4W | 1 |
| 858 | 25.6 | Ixekizumab Q4W | 1 |
| 859 | 29.2 | Ixekizumab Q4W | 1 |
| 860 | 29.3 | Ixekizumab Q4W | 1 |
| 861 | 32.0 | Ixekizumab Q4W | 1 |
| 862 | 29.9 | Ixekizumab Q4W | 1 |
| 863 | 34.3 | Ixekizumab Q4W | 1 |
| 864 | 29.7 | Ixekizumab Q4W | 1 |
| 865 | 34.6 | Ixekizumab Q4W | 1 |
| 866 | 38.4 | Ixekizumab Q4W | 1 |
| 867 | 29.8 | Ixekizumab Q4W | 1 |
| 868 | 43.4 | Ixekizumab Q4W | 1 |
| 869 | 31.8 | Ixekizumab Q4W | 1 |
| 870 | 40.8 | Ixekizumab Q4W | 1 |
| 871 | 30.1 | Ixekizumab Q4W | 1 |
| 872 | 34.7 | Ixekizumab Q4W | 1 |
| 873 | 43.9 | Ixekizumab Q4W | 1 |
| 874 | 34.2 | Ixekizumab Q4W | 1 |
| 875 | 34.4 | Ixekizumab Q4W | 1 |
| 876 | 32.5 | Ixekizumab Q4W | 1 |
| 877 | 31.9 | Ixekizumab Q4W | 1 |
| 878 | 32.0 | Ixekizumab Q4W | 1 |
| 879 | 29.7 | Ixekizumab Q4W | 1 |
| 880 | 26.0 | Ixekizumab Q4W | 1 |
| 881 | 29.4 | Ixekizumab Q4W | 1 |
| 882 | 43.6 | Ixekizumab Q4W | 1 |
| 883 | 26.2 | Ixekizumab Q4W | 1 |
| 884 | 35.7 | Ixekizumab Q4W | 1 |
| 885 | 24.4 | Ixekizumab Q4W | 1 |
| 886 | 26.0 | Ixekizumab Q4W | 1 |
| 887 | 46.8 | Ixekizumab Q4W | 1 |
| 888 | 35.0 | Ixekizumab Q4W | 1 |
| 889 | 29.7 | Ixekizumab Q4W | 1 |
| 890 | 32.7 | Ixekizumab Q4W | 1 |
| 891 | 40.6 | Ixekizumab Q4W | 1 |
| 892 | 40.9 | Ixekizumab Q4W | 1 |
| 893 | 31.2 | Ixekizumab Q4W | 1 |
| 894 | 32.5 | Ixekizumab Q4W | 1 |
| 895 | 23.0 | Ixekizumab Q4W | 1 |
| 896 | 29.6 | Ixekizumab Q4W | 1 |
| 897 | 32.9 | Ixekizumab Q4W | 1 |
| 898 | 27.8 | Ixekizumab Q4W | 1 |
| 899 | 30.0 | Ixekizumab Q4W | 1 |
| 900 | 34.7 | Ixekizumab Q4W | 1 |
| 901 | 36.9 | Ixekizumab Q4W | 1 |
| 902 | 31.6 | Ixekizumab Q4W | 1 |
| 903 | 40.9 | Ixekizumab Q4W | 1 |
| 904 | 24.5 | Ixekizumab Q4W | 1 |
| 905 | 25.1 | Ixekizumab Q4W | 1 |
| 906 | 34.2 | Ixekizumab Q4W | 1 |
| 907 | 29.9 | Ixekizumab Q4W | 1 |
| 908 | 27.8 | Ixekizumab Q4W | 1 |
| 909 | 20.8 | Ixekizumab Q4W | 1 |
| 910 | 29.2 | Ixekizumab Q4W | 1 |
| 911 | 23.4 | Ixekizumab Q4W | 1 |
| 912 | 29.4 | Ixekizumab Q4W | 1 |
| 913 | 26.6 | Ixekizumab Q4W | 1 |
| 914 | 33.3 | Ixekizumab Q4W | 1 |
| 915 | 33.1 | Ixekizumab Q4W | 1 |
| 916 | 33.1 | Ixekizumab Q4W | 1 |
| 917 | 27.2 | Ixekizumab Q4W | 1 |
| 918 | 24.1 | Ixekizumab Q4W | 1 |
| 919 | 33.1 | Ixekizumab Q4W | 1 |
| 920 | 35.7 | Ixekizumab Q4W | 1 |
| 921 | 29.7 | Ixekizumab Q4W | 1 |
| 922 | 23.2 | Ixekizumab Q4W | 1 |
| 923 | 23.0 | Ixekizumab Q4W | 1 |
| 924 | 25.9 | Ixekizumab Q4W | 1 |
| 925 | 26.6 | Ixekizumab Q4W | 1 |
| 926 | 32.7 | Ixekizumab Q4W | 1 |
| 927 | 27.5 | Ixekizumab Q4W | 1 |
| 928 | NaN | Ixekizumab Q4W | 1 |
| 929 | 32.4 | Ixekizumab Q4W | 1 |
| 930 | 26.2 | Ixekizumab Q4W | 1 |
| 931 | 42.7 | Ixekizumab Q4W | 1 |
| 932 | 25.7 | Ixekizumab Q4W | 1 |
| 933 | 34.3 | Ixekizumab Q4W | 1 |
| 934 | 26.9 | Ixekizumab Q4W | 1 |
| 935 | 34.0 | Ixekizumab Q4W | 1 |
| 936 | 35.1 | Ixekizumab Q4W | 1 |
| 937 | 26.0 | Ixekizumab Q4W | 1 |
| 938 | 33.1 | Ixekizumab Q4W | 1 |
| 939 | 32.0 | Ixekizumab Q4W | 1 |
| 940 | 32.5 | Ixekizumab Q4W | 1 |
| 941 | 26.9 | Ixekizumab Q4W | 1 |
| 942 | 44.3 | Ixekizumab Q4W | 1 |
| 943 | 26.0 | Ixekizumab Q4W | 1 |
| 944 | 34.7 | Ixekizumab Q4W | 1 |
| 945 | 21.6 | Ixekizumab Q4W | 1 |
| 946 | 30.9 | Ixekizumab Q4W | 1 |
| 947 | 20.8 | Ixekizumab Q4W | 1 |
| 948 | 29.0 | Ixekizumab Q4W | 1 |
| 949 | 25.2 | Ixekizumab Q4W | 1 |
| 950 | 25.5 | Ixekizumab Q4W | 1 |
| 951 | 27.8 | Ixekizumab Q4W | 1 |
| 952 | 31.2 | Ixekizumab Q4W | 1 |
| 953 | 29.7 | Ixekizumab Q4W | 1 |
| 954 | 33.1 | Ixekizumab Q4W | 1 |
| 955 | 28.4 | Ixekizumab Q4W | 1 |
| 956 | 23.3 | Ixekizumab Q4W | 1 |
| 957 | 31.1 | Ixekizumab Q4W | 1 |
| 958 | 29.6 | Ixekizumab Q4W | 1 |
| 959 | 26.6 | Ixekizumab Q4W | 1 |
| 960 | 25.4 | Ixekizumab Q4W | 1 |
| 961 | 27.8 | Ixekizumab Q4W | 1 |
| 962 | 35.1 | Ixekizumab Q4W | 1 |
| 963 | 33.6 | Ixekizumab Q4W | 1 |
| 964 | 43.7 | Ixekizumab Q4W | 1 |
| 965 | 34.3 | Ixekizumab Q4W | 1 |
| 966 | 29.0 | Ixekizumab Q4W | 1 |
| 967 | 25.2 | Ixekizumab Q4W | 1 |
| 968 | 29.0 | Ixekizumab Q4W | 1 |
| 969 | 25.8 | Ixekizumab Q4W | 1 |
| 970 | 21.6 | Ixekizumab Q4W | 1 |
| 971 | 23.5 | Ixekizumab Q4W | 1 |
| 972 | 26.4 | Ixekizumab Q4W | 1 |
| 973 | 21.6 | Ixekizumab Q4W | 1 |
| 974 | 30.6 | Ixekizumab Q4W | 1 |
| 975 | 28.4 | Ixekizumab Q4W | 1 |
| 976 | 24.0 | Ixekizumab Q4W | 1 |
| 977 | 30.3 | Ixekizumab Q4W | 1 |
| 978 | 22.3 | Ixekizumab Q4W | 1 |
| 979 | 33.1 | Ixekizumab Q4W | 1 |
| 980 | 43.4 | Ixekizumab Q4W | 1 |
| 981 | 30.0 | Ixekizumab Q4W | 1 |
| 982 | 21.4 | Ixekizumab Q4W | 1 |
| 983 | 24.7 | Ixekizumab Q4W | 1 |
| 984 | 34.2 | Ixekizumab Q4W | 1 |
| 985 | 32.2 | Ixekizumab Q4W | 1 |
| 986 | 31.4 | Ixekizumab Q4W | 1 |
| 987 | 26.6 | Ixekizumab Q4W | 1 |
| 988 | 25.5 | Ixekizumab Q4W | 1 |
| 989 | 24.2 | Ixekizumab Q4W | 1 |
| 990 | 27.7 | Ixekizumab Q4W | 1 |
| 991 | 27.4 | Ixekizumab Q4W | 1 |
| 992 | 37.2 | Ixekizumab Q4W | 1 |
| 993 | 28.8 | Ixekizumab Q4W | 1 |
| 994 | 29.3 | Ixekizumab Q4W | 1 |
| 995 | 38.4 | Ixekizumab Q4W | 1 |
| 996 | 21.5 | Ixekizumab Q4W | 1 |
| 997 | 29.4 | Ixekizumab Q4W | 1 |
| 998 | 27.8 | Ixekizumab Q4W | 1 |
| 999 | 28.8 | Ixekizumab Q4W | 1 |
| 1000 | 26.9 | Ixekizumab Q4W | 1 |
| 1001 | 28.8 | Ixekizumab Q4W | 1 |
| 1002 | 30.3 | Ixekizumab Q4W | 1 |
| 1003 | 26.4 | Ixekizumab Q4W | 1 |
| 1004 | 48.2 | Ixekizumab Q4W | 1 |
| 1005 | 35.2 | Ixekizumab Q4W | 1 |
| 1006 | 32.0 | Ixekizumab Q4W | 1 |
| 1007 | 30.0 | Ixekizumab Q4W | 1 |
| 1008 | 24.5 | Ixekizumab Q4W | 1 |
| 1009 | 36.1 | Ixekizumab Q4W | 1 |
| 1010 | 35.9 | Ixekizumab Q4W | 1 |
| 1011 | 24.8 | Ixekizumab Q4W | 1 |
| 1012 | 35.8 | Ixekizumab Q4W | 1 |
| 1013 | 37.3 | Ixekizumab Q4W | 1 |
| 1014 | 33.4 | Ixekizumab Q4W | 1 |
| 1015 | 38.1 | Ixekizumab Q4W | 1 |
| 1016 | 27.7 | Ixekizumab Q4W | 1 |
| 1017 | 31.0 | Ixekizumab Q4W | 1 |
| 1018 | 44.8 | Ixekizumab Q4W | 1 |
| 1019 | 28.9 | Ixekizumab Q4W | 1 |
| 1020 | 31.4 | Ixekizumab Q4W | 1 |
| 1021 | 29.0 | Ixekizumab Q4W | 1 |
| 1022 | 28.4 | Ixekizumab Q4W | 1 |
| 1023 | 40.6 | Ixekizumab Q4W | 1 |
| 1024 | 22.4 | Ixekizumab Q4W | 1 |
| 1025 | 22.5 | Ixekizumab Q4W | 1 |
| 1026 | 34.8 | Ixekizumab Q4W | 1 |
| 1027 | 26.7 | Ixekizumab Q4W | 1 |
| 1028 | 32.0 | Ixekizumab Q4W | 1 |
| 1029 | 40.6 | Ixekizumab Q4W | 1 |
| 1030 | NaN | Ixekizumab Q4W | 1 |
| 1031 | 32.0 | Ixekizumab Q4W | 1 |
| 1032 | 22.5 | Ixekizumab Q4W | 1 |
| 1033 | 29.4 | Ixekizumab Q4W | 1 |
| 1034 | 22.8 | Ixekizumab Q4W | 1 |
| 1035 | 32.8 | Ixekizumab Q4W | 1 |
| 1036 | 25.1 | Ixekizumab Q4W | 1 |
| 1037 | 26.9 | Ixekizumab Q4W | 1 |
| 1038 | 26.7 | Ixekizumab Q4W | 1 |
| 1039 | 32.5 | Ixekizumab Q4W | 1 |
| 1040 | 26.0 | Ixekizumab Q4W | 1 |
| 1041 | 30.0 | Ixekizumab Q4W | 1 |
| 1042 | 33.8 | Ixekizumab Q4W | 1 |
| 1043 | 27.5 | Ixekizumab Q4W | 1 |
| 1044 | 45.1 | Ixekizumab Q4W | 1 |
| 1045 | 25.7 | Ixekizumab Q4W | 1 |
| 1046 | 35.5 | Ixekizumab Q4W | 1 |
| 1047 | 43.4 | Ixekizumab Q4W | 1 |
| 1048 | 31.2 | Ixekizumab Q4W | 1 |
| 1049 | 27.8 | Ixekizumab Q4W | 1 |
| 1050 | 42.0 | Ixekizumab Q4W | 1 |
| 1051 | 29.2 | Ixekizumab Q4W | 1 |
| 1052 | 37.3 | Ixekizumab Q4W | 1 |
| 1053 | 26.9 | Ixekizumab Q4W | 1 |
| 1054 | 22.6 | Ixekizumab Q4W | 1 |
| 1055 | 30.0 | Placebo | 1 |
| 1056 | 38.7 | Placebo | 1 |
| 1057 | 32.7 | Placebo | 1 |
| 1058 | 30.8 | Placebo | 1 |
| 1059 | 33.6 | Placebo | 1 |
| 1060 | 28.6 | Placebo | 1 |
| 1061 | 34.0 | Placebo | 1 |
| 1062 | 35.1 | Placebo | 1 |
| 1063 | 19.5 | Placebo | 1 |
| 1064 | 26.0 | Placebo | 1 |
| 1065 | 21.3 | Placebo | 1 |
| 1066 | 19.4 | Placebo | 1 |
| 1067 | 28.6 | Placebo | 1 |
| 1068 | 34.4 | Placebo | 1 |
| 1069 | 22.7 | Placebo | 1 |
| 1070 | 34.8 | Placebo | 1 |
| 1071 | 39.9 | Placebo | 1 |
| 1072 | 25.2 | Placebo | 1 |
| 1073 | 29.2 | Placebo | 1 |
| 1074 | 33.6 | Placebo | 1 |
| 1075 | 26.0 | Placebo | 1 |
| 1076 | 31.8 | Placebo | 1 |
| 1077 | 35.1 | Placebo | 1 |
| 1078 | 26.0 | Placebo | 1 |
| 1079 | 20.8 | Placebo | 1 |
| 1080 | 21.5 | Placebo | 1 |
| 1081 | 30.0 | Placebo | 1 |
| 1082 | 30.2 | Placebo | 1 |
| 1083 | 30.3 | Placebo | 1 |
| 1084 | 25.7 | Placebo | 1 |
| 1085 | 26.0 | Placebo | 1 |
| 1086 | 30.2 | Placebo | 1 |
| 1087 | 38.3 | Placebo | 1 |
| 1088 | 33.0 | Placebo | 1 |
| 1089 | 38.2 | Placebo | 1 |
| 1090 | 30.6 | Placebo | 1 |
| 1091 | 60.6 | Placebo | 1 |
| 1092 | 32.4 | Placebo | 1 |
| 1093 | 35.8 | Placebo | 1 |
| 1094 | 28.1 | Placebo | 1 |
| 1095 | 33.9 | Placebo | 1 |
| 1096 | 30.6 | Placebo | 1 |
| 1097 | 32.9 | Placebo | 1 |
| 1098 | 39.9 | Placebo | 1 |
| 1099 | 29.9 | Placebo | 1 |
| 1100 | 37.3 | Placebo | 1 |
| 1101 | 21.6 | Placebo | 1 |
| 1102 | NaN | Placebo | 1 |
| 1103 | 28.9 | Placebo | 1 |
| 1104 | 24.3 | Placebo | 1 |
| 1105 | 21.6 | Placebo | 1 |
| 1106 | 30.5 | Placebo | 1 |
| 1107 | 31.2 | Placebo | 1 |
| 1108 | 27.0 | Placebo | 1 |
| 1109 | 22.7 | Placebo | 1 |
| 1110 | 21.5 | Placebo | 1 |
| 1111 | 36.1 | Placebo | 1 |
| 1112 | 25.7 | Placebo | 1 |
| 1113 | 36.9 | Placebo | 1 |
| 1114 | 44.1 | Placebo | 1 |
| 1115 | 25.7 | Placebo | 1 |
| 1116 | 25.9 | Placebo | 1 |
| 1117 | 36.2 | Placebo | 1 |
| 1118 | 25.1 | Placebo | 1 |
| 1119 | 38.3 | Placebo | 1 |
| 1120 | 32.9 | Placebo | 1 |
| 1121 | 25.7 | Placebo | 1 |
| 1122 | 26.5 | Placebo | 1 |
| 1123 | 21.9 | Placebo | 1 |
| 1124 | 34.8 | Placebo | 1 |
| 1125 | 28.3 | Placebo | 1 |
| 1126 | 19.5 | Placebo | 1 |
| 1127 | 28.7 | Placebo | 1 |
| 1128 | 25.7 | Placebo | 1 |
| 1129 | 31.2 | Placebo | 1 |
| 1130 | 32.5 | Placebo | 1 |
| 1131 | 36.2 | Placebo | 1 |
| 1132 | 32.7 | Placebo | 1 |
| 1133 | 21.2 | Placebo | 1 |
| 1134 | 27.8 | Placebo | 1 |
| 1135 | 34.8 | Placebo | 1 |
| 1136 | 29.3 | Placebo | 1 |
| 1137 | 18.8 | Placebo | 1 |
| 1138 | 27.8 | Placebo | 1 |
| 1139 | 33.9 | Placebo | 1 |
| 1140 | 32.0 | Placebo | 1 |
| 1141 | 34.9 | Placebo | 1 |
| 1142 | 39.3 | Placebo | 1 |
| 1143 | 29.0 | Placebo | 1 |
| 1144 | 29.2 | Placebo | 1 |
| 1145 | 26.0 | Placebo | 1 |
| 1146 | 28.7 | Placebo | 1 |
| 1147 | 24.2 | Placebo | 1 |
| 1148 | 36.3 | Placebo | 1 |
| 1149 | 33.7 | Placebo | 1 |
| 1150 | 33.6 | Placebo | 1 |
| 1151 | 25.8 | Placebo | 1 |
| 1152 | 39.0 | Placebo | 1 |
| 1153 | 28.6 | Placebo | 1 |
| 1154 | 26.4 | Placebo | 1 |
| 1155 | 38.6 | Placebo | 1 |
| 1156 | 30.2 | Placebo | 1 |
| 1157 | 18.3 | Placebo | 1 |
| 1158 | 29.2 | Placebo | 1 |
| 1159 | 43.1 | Placebo | 1 |
| 1160 | 26.5 | Placebo | 1 |
| 1161 | 25.5 | Placebo | 1 |
| 1162 | 31.8 | Placebo | 1 |
| 1163 | 22.4 | Placebo | 1 |
| 1164 | 21.6 | Placebo | 1 |
| 1165 | 30.6 | Placebo | 1 |
| 1166 | 27.0 | Placebo | 1 |
| 1167 | 34.5 | Placebo | 1 |
| 1168 | 38.7 | Placebo | 1 |
| 1169 | 27.0 | Placebo | 1 |
| 1170 | 30.6 | Placebo | 1 |
| 1171 | 30.6 | Placebo | 1 |
| 1172 | 25.2 | Placebo | 1 |
| 1173 | 27.9 | Placebo | 1 |
| 1174 | 33.8 | Placebo | 1 |
| 1175 | 34.0 | Placebo | 1 |
| 1176 | 32.9 | Placebo | 1 |
| 1177 | 22.8 | Placebo | 1 |
| 1178 | 36.1 | Placebo | 1 |
| 1179 | 37.2 | Placebo | 1 |
| 1180 | 19.5 | Placebo | 1 |
| 1181 | 24.2 | Placebo | 1 |
| 1182 | 22.7 | Placebo | 1 |
| 1183 | 60.6 | Placebo | 1 |
| 1184 | 21.6 | Placebo | 1 |
| 1185 | 35.8 | Placebo | 1 |
| 1186 | 39.3 | Placebo | 1 |
| 1187 | 29.6 | Placebo | 1 |
| 1188 | 25.1 | Placebo | 1 |
| 1189 | 28.0 | Placebo | 1 |
| 1190 | 37.3 | Placebo | 1 |
| 1191 | 34.9 | Placebo | 1 |
| 1192 | 35.8 | Placebo | 1 |
| 1193 | 30.7 | Placebo | 1 |
| 1194 | 34.4 | Placebo | 1 |
| 1195 | 35.1 | Placebo | 1 |
| 1196 | 22.5 | Placebo | 1 |
| 1197 | 28.7 | Placebo | 1 |
| 1198 | 26.2 | Placebo | 1 |
| 1199 | 44.1 | Placebo | 1 |
| 1200 | 20.8 | Placebo | 1 |
| 1201 | 27.0 | Placebo | 1 |
| 1202 | 24.5 | Placebo | 1 |
| 1203 | 25.8 | Placebo | 1 |
| 1204 | 32.7 | Placebo | 1 |
| 1205 | 26.0 | Placebo | 1 |
| 1206 | 37.6 | Placebo | 1 |
| 1207 | 29.3 | Placebo | 1 |
| 1208 | 25.7 | Placebo | 1 |
| 1209 | 51.3 | Placebo | 1 |
| 1210 | 19.4 | Placebo | 1 |
| 1211 | 37.6 | Placebo | 1 |
| 1212 | 31.8 | Placebo | 1 |
| 1213 | 38.2 | Placebo | 1 |
| 1214 | 25.5 | Placebo | 1 |
| 1215 | 19.5 | Placebo | 1 |
| 1216 | 25.1 | Placebo | 1 |
| 1217 | 40.7 | Placebo | 1 |
| 1218 | 60.6 | Placebo | 1 |
| 1219 | 32.3 | Placebo | 1 |
| 1220 | 21.3 | Placebo | 1 |
| 1221 | 27.8 | Placebo | 1 |
## Rows: 1,221
## Columns: 7
## Groups: X, bmi [1,221]
## $ X <int> 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,…
## $ trial <chr> "UNCOVER-2", "UNCOVER-2", "UNCOVER-2", "UNCOVER-2", "UNCOVER-2", "UNCOVER-2", "UNCOVER-2", "UNCOVER-2", "UNCOVER-2", "UNCOVER-2", …
## $ trt <chr> "Etanercept", "Etanercept", "Etanercept", "Etanercept", "Etanercept", "Etanercept", "Etanercept", "Etanercept", "Etanercept", "Eta…
## $ age <int> 51, 64, 59, 54, 50, 57, 36, 54, 50, 26, 61, 29, 52, 42, 58, 47, 37, 49, 41, 51, 25, 45, 49, 57, 43, 59, 45, 36, 56, 47, 43, 76, 51…
## $ bmi <dbl> 34.5, 24.2, 26.1, 19.7, 30.3, 25.8, 30.3, 38.1, 30.3, 27.2, 31.5, 23.4, 27.5, 22.7, 34.6, 22.6, 41.9, 45.2, 28.1, 30.2, 25.1, 28.9…
## $ male <lgl> TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE, FALSE, TRUE, TRUE, FAL…
## $ response <int> 0, 1, 1, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 1…## X trial trt age bmi male response
## "integer" "character" "character" "integer" "numeric" "logical" "integer"## # A tibble: 1 x 2
## trial avg
## <chr> <dbl>
## 1 UNCOVER-2 46.1## # A tibble: 4 x 2
## trt avg
## <chr> <dbl>
## 1 Placebo 45.2
## 2 Ixekizumab Q2W 45.5
## 3 Ixekizumab Q4W 45.6
## 4 Etanercept 47.5## # A tibble: 1,221 x 7
## # Groups: X, bmi [1,221]
## X trial trt age bmi male response
## <int> <chr> <chr> <int> <dbl> <lgl> <int>
## 1 374 UNCOVER-2 Ixekizumab Q2W 18 25.3 TRUE 0
## 2 379 UNCOVER-2 Ixekizumab Q2W 18 26.1 TRUE 1
## 3 487 UNCOVER-2 Ixekizumab Q2W 18 22.1 TRUE 1
## 4 569 UNCOVER-2 Ixekizumab Q2W 18 21.2 FALSE 0
## 5 659 UNCOVER-2 Ixekizumab Q2W 18 26.1 TRUE 1
## 6 857 UNCOVER-2 Ixekizumab Q4W 18 22.8 FALSE 0
## 7 61 UNCOVER-2 Etanercept 19 41.4 TRUE 0
## 8 325 UNCOVER-2 Etanercept 19 29.3 TRUE 1
## 9 413 UNCOVER-2 Ixekizumab Q2W 19 21.2 FALSE 1
## 10 696 UNCOVER-2 Ixekizumab Q2W 19 25.3 TRUE 1
## # … with 1,211 more rows## # A tibble: 12 x 7
## # Groups: X, bmi [12]
## X trial trt age bmi male response
## <int> <chr> <chr> <int> <dbl> <lgl> <int>
## 1 47 UNCOVER-2 Etanercept 78 24.2 TRUE 0
## 2 187 UNCOVER-2 Etanercept 71 28.7 FALSE 1
## 3 366 UNCOVER-2 Ixekizumab Q2W 77 23.3 FALSE 1
## 4 414 UNCOVER-2 Ixekizumab Q2W 77 28.4 TRUE 1
## 5 418 UNCOVER-2 Ixekizumab Q2W 84 26.8 TRUE 1
## 6 430 UNCOVER-2 Ixekizumab Q2W 84 27.7 FALSE 1
## 7 484 UNCOVER-2 Ixekizumab Q2W 75 27.9 FALSE 1
## 8 586 UNCOVER-2 Ixekizumab Q2W 73 23.3 FALSE 1
## 9 641 UNCOVER-2 Ixekizumab Q2W 72 27.9 FALSE 1
## 10 748 UNCOVER-2 Ixekizumab Q4W 80 23.9 TRUE 1
## 11 822 UNCOVER-2 Ixekizumab Q4W 72 28.4 TRUE 0
## 12 1134 UNCOVER-2 Placebo 76 27.8 TRUE 0## # A tibble: 1,221 x 7
## # Groups: X, bmi [1,221]
## X trial trt age bmi male response
## <int> <chr> <chr> <int> <dbl> <lgl> <int>
## 1 1 UNCOVER-2 Etanercept 51 34.5 TRUE 0
## 2 2 UNCOVER-2 Etanercept 64 24.2 TRUE 1
## 3 3 UNCOVER-2 Etanercept 59 26.1 TRUE 1
## 4 4 UNCOVER-2 Etanercept 54 19.7 TRUE 0
## 5 5 UNCOVER-2 Etanercept 50 30.3 TRUE 0
## 6 6 UNCOVER-2 Etanercept 57 25.8 TRUE 1
## 7 7 UNCOVER-2 Etanercept 36 30.3 TRUE 0
## 8 8 UNCOVER-2 Etanercept 54 38.1 FALSE 1
## 9 9 UNCOVER-2 Etanercept 50 30.3 FALSE 0
## 10 10 UNCOVER-2 Etanercept 26 27.2 TRUE 1
## # … with 1,211 more rows
